Everything in CAP / Node.js
78 of 904
Domain: 2
Signals
Content: 2
Node.js: Answers in Node.js
More
Group by: Capability
EntryBySignalsLast activity
Analytical queriesSAP only
Building an Analytical List Page with CAP OData V4Building an Analytical List Page with CAP OData V4The annotations a CAP OData V4 service needs before an Analytical List Page will render — the write-up behind the cap-alp sample indexed here. Candid about its provenance: the author credits a GitHub repository she found the approach in, and notes that the repository is no longer available, which is the whole argument for indexing the reasoning rather than only linking the code.published 2023-06-12
Building an Analytical List Page with CAP OData V4
cap-alp: no published releases, repository quiet for 24 months. Affects A recipe, Runnable code.
E2E: SAP Cloud Platform Internet of Things to SAP Analytics CloudE2E: SAP Cloud Platform Internet of Things to SAP Analytics CloudDevice data from ingestion to chart, with CAP occupying the middle: a CDS-defined persistence on HANA Cloud, and an OData service published from it for Analytics Cloud to consume live. The interesting choice is that CAP is used for the model rather than for business logic — there is barely any.Gunter, published 2020-08-31
Predictive Asset Insights embedded Live analytics using CAP and SACPredictive Asset Insights embedded Live analytics using CAP and SACCAP as the layer between a line-of-business application's data and a live Analytics Cloud story embedded back into it — master data and operational data both. Structured as ten steps, which keeps it honest about how much of this is configuration rather than modelling.Saif, published 2021-07-18
SAP Data and Analytics Showcase – Use SAP Cloud Application Programming Model to Develop a Machine Learning Application on SAP BTPSAP Data and Analytics Showcase – Use SAP Cloud Application Programming Model to Develop a Machine Learning Application on SAP BTPThe instalment where the showcase becomes code: the CAP application built in Business Application Studio, and the sub-scenario it covers implemented step by step. The overview post is the one that says why this piece exists at all.former_member10846, published 2022-08-12
SAP Incentive Management - Understanding of CSN file & CLI Command to generateSAP Incentive Management - Understanding of CSN file & CLI Command to generateCSN met from the far end: not as CAP's compiled model but as the interchange format a product hands to Analytics Cloud so a story knows the shape of the data. Explains what CSN is, why the format matters here, and the command that produces one.Yogananda, published 2024-11-19
AttachmentsSAP and community
Consume SAP Document Management using @cap-js/sdm pluginConsume SAP Document Management using @cap-js/sdm pluginStoring attachments in a SAP Document Management repository from a CAP application, using the official plugin. The point the post makes about the plugin is that it brings its own UI: a user attaches any number of documents and one Save writes them all to the repository, so the application does not build an upload surface of its own.published 2024-08-26
Major updates to the Attachments plugin – multi-cloud support, malware scanning and moreMajor updates to the Attachments plugin – multi-cloud support, malware scanning and moreMulti-cloud storage and malware scanning added to the official plugin, framed through CAP's Calesi pattern — the argument being that a service interface is what lets the storage underneath change without the application noticing. The post that a triage bug hid: "attachment" had stopped matching "Attachments".published 2025-12-02
Major updates to the Attachments plugin – multi-cloud support, malware scanning and more
@cap-js/attachments 3.4.0, now 4.0.0, com.sap.cds:cds-feature-attachments 1.2.2. Affects A recipe, Runnable code.
Media Handling in SAP CAPM – Backend and Frontend ImplementationMedia Handling in SAP CAPM – Backend and Frontend ImplementationFiles against a record with the front end included, which most of the attachments writing here leaves out — the entity that stores the content, the custom logic around it, and then the UI5 side that uploads and retrieves. End to end rather than one half.published 2026-03-02
Unlocking Efficiency: Leveraging SAP BTP Document Management Service in Fiori Applications # 2Unlocking Efficiency: Leveraging SAP BTP Document Management Service in Fiori Applications # 2Document Management's own Attachment Reuse UI dropped into a Fiori elements List Report, in two variants — OData V2, and OData V4 in a CAP application. The CAP half is one of the two scenarios rather than the subject; the rest of the series is about custom Fiori apps and a process task UI, with no CAP in them.published 2024-12-10
Use SAP Document Management Service Plugin In CAP NODEJS Step by Step GuidanceUse SAP Document Management Service Plugin In CAP NODEJS Step by Step GuidanceThe official plugin is documented in capire; this is somebody who set it up anyway and wrote down where it went wrong. The author says as much — the point is to spare customers the troubles, so the value is in the order of the steps and the prerequisites, not in the API.Jacky_Liu1, published 2025-03-06
Working with the Attachment plugin - Cloud Application ProgrammingWorking with the Attachment plugin - Cloud Application ProgrammingOne instalment of the author's own series working through the CAP plugins one at a time, and it reads as that: what the plugin does, how it does it, and how to put it in a service. Written from the plugin list in capire rather than from a problem, which makes it the plainest introduction here.published 2024-05-18
Working with the Attachment plugin - Cloud Application Programming
@cap-js/attachments has been through 3 major lines since this was published: 2 (2025-03), 3 (2025-10), 4 (2026-08). Affects A recipe, Runnable code.
CachingSAP and community
Boosting performance in SAP Cloud Application Programming Model (CAP) applications with cds-cachingBoosting performance in SAP Cloud Application Programming Model (CAP) applications with cds-cachingThe plugin's introduction post: what cds-caching is for, how it is put together and the cases it was written against. The edge holds because the plugin's README still points here as the piece to read first, so this is where a reader arriving at the plugin is sent. It predates version 1.0 and the API has moved since: the read-through calls it shows as cache.run() and cache.send() are the ones the README now lists as deprecated in favour of cache.rt.*, which returns the cache key and hit/miss metadata alongside the result, and 1.0 made user, tenant and locale awareness opt-in under keyManagement rather than folding them into request-based keys by default. Metrics and monitoring, the OData API and full TypeScript definitions arrived with 1.0 and are described in CAP just got faster: What's new in cds-caching 1.0 instead. The reasoning about when a CAP service wants a cache still reads true; the call sites need translating.published 2025-06-25
Boosting performance in SAP Cloud Application Programming Model (CAP) applications with cds-caching
cds 9, maintenance until 2027-06, cds-caching 0.x, now 3.1.1. Affects A recipe.
CAP just got faster: What's new in cds-caching 1.0CAP just got faster: What's new in cds-caching 1.0What changed in cds-caching at 1.0, announced at reCAP 2025 by the plugin's own maintainer. The substantive change is the read-through API: cache.rt.run(), send(), exec() and wrap() replace the bare cache.run() and cache.send(), and each returns the cache key and hit-or-miss metadata beside the result rather than the value alone. The second is quieter and easier to miss on an upgrade: user, tenant and locale stopped being folded into request-based cache keys by default and became opt-in through keyManagement, or per operation through a key template. Both of those still describe 3.x. What does not is the second half of the post: the metrics configuration it shows was reshaped at 2.0 and the statistics and dashboard settings were removed at 3.0, so take the monitoring and dashboard sections from the README instead. Read it as the successor to the introduction post, which still shows the deprecated calls.published 2025-07-15
CAP just got faster: What's new in cds-caching 1.0
cds-caching 1.0, now 3.1.1, cds 9, maintenance until 2027-06. Affects A reference.
Performance Boost and Caching Strategy for Faster Data Access using "cds-caching" in SAP CAPPerformance Boost and Caching Strategy for Faster Data Access using "cds-caching" in SAP CAPSomebody else's account of using the plugin, which is the useful counterpart to its documentation. The case is specific: a master-data entity of more than a million rows, rarely written and constantly read, where the read-heavy shape is what makes caching worth the complexity rather than a general performance wish. Walks through integrating cds-caching into that application and what it changed.NaveenChandar, published 2025-03-04
Performance Boost and Caching Strategy for Faster Data Access using "cds-caching" in SAP CAP
cds-caching has been through 4 major lines since this was published, most recently 1 (2025-07), 2 (2026-07), 3 (2026-08). Affects A recipe, Runnable code.
Data federationSAP and community
Federating, Replicating, and Caching Remote Data in CAP — Part 2Federating, Replicating, and Caching Remote Data in CAP — Part 2The practical half of the pair. Where Part 1 sets out the terminology, what CAP does out of the box and where the gaps are, this one builds a small application that federates, replicates and caches remote data, one step at a time, with the finished project published as sales-cockpit so a reader can either follow along or start from the end. It began as a twenty-minute reCAP talk, which the author says was only room for the intro.published 2026-07-17
Data modellingSAP and community
Computed field example in CAPComputed field example in CAPAn answer to a Community question — how to count the entities on the far side of an association — written up as a short post rather than left in a thread. The answer combines CDS with Node.js service events, which is the seam worth noticing: some of what looks like modelling is expressed in the model and some has to be computed when the request arrives, and the boundary between them is not obvious from either side.published 2019-08-21
Computed field example in CAP
Data modelling has changed 3 times since this was published, most recently in @sap/cds 9.9.0, 2026-04-23. Affects A recipe, Runnable code.
Deep Insert in SAP CAPM Using Composition and Fiori ElementsDeep Insert in SAP CAPM Using Composition and Fiori ElementsParent and children created in one transaction, which composition already gives you in the model — the post is about what Fiori elements does with it, and what the payload looks like when the UI sends both at once.published 2026-05-22
Learn how to define constraints declaratively in your CDS modelLearn how to define constraints declaratively in your CDS modelConstraints expressed in the model rather than checked in a handler — the distinction the atlas draws between input validation the framework enforces and validation somebody writes.SAP
Database connectorsSAP and community
2024/01最新版！Productivity Toolsを使ったCAPバックエンド開発②~HANA Cloud編~2024/01最新版！Productivity Toolsを使ったCAPバックエンド開発②~HANA Cloud編~In Japanese, and the second of a pair — database connection through to calling the API from outside, with authorisation in between. The author dates the screenshots explicitly and warns that the UI may have moved since, which is the right disclaimer for a click-through guide.takayuki_tanaka, published 2024-01-09
2024/01最新版！Productivity Toolsを使ったCAPバックエンド開発②~HANA Cloud編~
Database connectors has changed twice since this was published, most recently in @sap/cds 10.1.0, 2026-09-07. Affects A recipe.
Building agentic applications with SAP HANA CloudBuilding agentic applications with SAP HANA CloudA CAP application extended with semantic search and agent features on top of SAP HANA Cloud's vector engine and SAP AI Core, built in a hands-on workshop. The abstract names the parts, CAP, the vector engine and AI Core, and the two additions: semantic search, the retrieval half of retrieval-augmented generation, and LLM-supported agent capabilities inside the application, which is agent tooling. Which embedding model, which CAP runtime and how the agent calls its tools are not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hui Li, Ritty Joseph, Shraddha Shetty and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
CAP PostgreSql setup local debugging using Docker - Part 2CAP PostgreSql setup local debugging using Docker - Part 2PostgreSQL in a container so the local loop matches the deployed one — the thing SQLite quietly stops you doing. Short, and it assumes the project from part one already runs.ramonlee5, published 2023-11-22
CAP PostgreSql setup local debugging using Docker - Part 2
Database connectors has changed twice since this was published, most recently in @sap/cds 10.1.0, 2026-09-07. Affects A recipe.
Connect SAP CAP (Node.js) to On-Premise/Private PostgreSQL using SAP Cloud ConnectorConnect SAP CAP (Node.js) to On-Premise/Private PostgreSQL using SAP Cloud ConnectorAn end-to-end route from a CAP Node.js application on Cloud Foundry to a PostgreSQL database that is never made publicly reachable, over BTP Connectivity and the Cloud Connector using a TCP destination and SOCKS5. The part worth having is that it covers the deployer as well as the server: the generated PostgreSQL deployer has to reach the same private database to deploy the CDS model, and a guide that only connects the runtime leaves you with a schema you cannot install.Kalaikovan, published 2026-08-07
Connect SAP CAP (Node.js) to On-Premise/Private PostgreSQL using SAP Cloud Connector
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe.
Create a Business Service using CDS, Node.js, SQLite and a OData serviceCreate a Business Service using CDS, Node.js, SQLite and a OData serviceThe stack at its smallest — CDS, Node, SQLite, an OData service — worked through at length. Nothing cloud in it, which is the point: it is the shape of a CAP service before any of the platform arrives.raybanton, published 2021-07-12
Create a Business Service using CDS, Node.js, SQLite and a OData service
Database connectors has changed twice since this was published, most recently in @sap/cds 10.1.0, 2026-09-07. Affects A recipe, Runnable code.
Create a CAP Application with SAP HANA Cloud from Scratch and Deploy to Cloud FoundryCreate a CAP Application with SAP HANA Cloud from Scratch and Deploy to Cloud FoundryThe whole lifecycle in one post rather than a series — model, service, HANA binding, build, deploy. Useful as a single reference for the order things have to happen in, which is the part that is easy to get wrong when it is spread over six posts.MaheshSirsat1708, published 2025-11-19
Create a CAP Application with SAP HANA Cloud from Scratch and Deploy to Cloud Foundry
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe.
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-1]Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-1]The first of six, and it does the thing the later parts depend on: build the Incident Management application against SQLite on a laptop, with no cloud database in sight. The series is called decoupled because the front end and the back end are deployed separately, and this part is entirely the back end.sanjucs, published 2026-05-06
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-1]
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe, Runnable code.
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-4]Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-4]The switch from SQLite to HANA and the first deploy of the back end to Cloud Foundry — the point in the series where the persistence stops being a file and the build starts producing HDI artifacts.sanjucs, published 2026-05-12
Fullstack CAP Application with HANA Cloud (Decoupled Architecture) [Part-4]
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe.
Get hands on with tabular AI and forecasting models in SAP HANA CloudGet hands on with tabular AI and forecasting models in SAP HANA CloudPrediction and forecasting as predictive models inside SAP HANA Cloud, worked through hands-on: tabular AI models such as SAP-RPT-1 for on-the-fly predictions, time series foundation models for ad hoc forecasts, and the AutoML in the predictive analysis library. The abstract names the model kinds and the library and does not say how a model is called from SQL or from an application. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Markus Fath, Ritty Joseph and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
Knowledge graph and agent memory: Build an agent that remembersKnowledge graph and agent memory: Build an agent that remembersThe knowledge graph engine in SAP HANA Cloud as an agent's memory: what the engine, the graph side of graph, spatial and document data, does in an agentic workflow, how an agent keeps what it learns there, the state agent tooling holds between turns, and the SAP AI Core integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA205 on Tuesday 27 October is the 45-minute talk on the same engine, with a near-identical abstract and a different cast. A two-hour hands-on TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Jan Zwickel, Markus Fath and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
Medallion Reference Architecture for Big Data Processing in SAP HANA CloudMedallion Reference Architecture for Big Data Processing in SAP HANA CloudSAP's medallion layout for SAP HANA Cloud: structured, semi-structured and unstructured data lands raw in HANA Cloud, data lake files as the bronze layer, is cleansed into a common structure in silver, held in data lake files or the HANA database, and is curated and read-optimised in gold, from where it can also be exposed as a Delta Share. The staged path from raw to consumable is the ground loading a warehouse covers, with Spark jobs and SAP Datasphere data flows named as ways to move data between layers and SAP Analytics Cloud among the consumers of gold. It leaves the ingestion method open, to be chosen by source, freshness and performance, and names no pipeline or schedule beyond that.published 2025-04-03
Part 1: Creating and Deploying a SAP CAP Application with SAP HANA on SAP BTP (Cloud Foundry)Part 1: Creating and Deploying a SAP CAP Application with SAP HANA on SAP BTP (Cloud Foundry)Opens with the observation the whole series rests on — CAP is usually demonstrated locally, and the interesting part starts when it is deployed. Part one of the run that continues into PostgreSQL and Work Zone.yashbhosle789, published 2026-02-25
Part 1: Creating and Deploying a SAP CAP Application with SAP HANA on SAP BTP (Cloud Foundry)
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe.
Part 2: Creating and Deploying a CAP Application with PostgreSQL, Hyperscaler OptionPart 2: Creating and Deploying a CAP Application with PostgreSQL, Hyperscaler OptionThe middle of a series that runs from database to Work Zone: the CAP application from part one pointed at PostgreSQL on the hyperscaler option, and deployed. The service binding and the build are where it spends its time.yashbhosle789, published 2026-03-04
Part 2: Creating and Deploying a CAP Application with PostgreSQL, Hyperscaler Option
Database connectors changed in @sap/cds 10.1.0, 2026-09-07. Affects A recipe.
Run and Deploy SAP CAP (Java) with PostgreSQL using Official Database Adapter @cap-js/postgresRun and Deploy SAP CAP (Java) with PostgreSQL using Official Database Adapter @cap-js/postgresThe post that records a handover. The author's earlier writing relied on the community projects cds-pg and cds-dbm; this one states that both were deprecated in favour of the official PostgreSQL support arriving with @sap/cds 7, and rewrites the path around @cap-js/postgres. For CAP Java it takes a different route to the initial schema.sql than the Node.js case, and it is candid that automatic schema deployment is convenient but not always what you want. Dated evidence for why two artifacts here went quiet.shanthakumar_krishnaswamy, published 2023-08-02
Run and Deploy SAP CAP (Java) with PostgreSQL using Official Database Adapter @cap-js/postgres
cds 7, line ended. Affects A recipe, Runnable code.
Run and Deploy SAP CAP (Node.js or Java) with PostgreSQL on SAP BTP Cloud FoundryRun and Deploy SAP CAP (Node.js or Java) with PostgreSQL on SAP BTP Cloud FoundryBoth runtimes in one walkthrough, and it stops on schema evolution — which is the reason to read it rather than one of the several other PostgreSQL posts here, since that is where the PostgreSQL story diverges from HANA's and the deploy stops being automatic.TiaXu, published 2023-07-12
Run and Deploy SAP CAP (Node.js or Java) with PostgreSQL on SAP BTP Cloud Foundry
Database connectors has changed twice since this was published, most recently in @sap/cds 10.1.0, 2026-09-07. Affects A recipe, Runnable code.
SAP BTP Showcase - Use SAP Cloud Application Programming to do Native Development on HANA CloudSAP BTP Showcase - Use SAP Cloud Application Programming to do Native Development on HANA CloudThe fifth of a seven-post showcase, and the one where CAP is used to reach HANA-native artifacts rather than to avoid them. Long, and it sits inside a series whose other parts are about Data Warehouse Cloud and CI/CD.former_member271284, published 2021-01-31
SAP BTP Showcase - Use SAP Cloud Application Programming to do Native Development on HANA Cloud
Database connectors has changed twice since this was published, most recently in @sap/cds 10.1.0, 2026-09-07. Affects A recipe, Runnable code.
SAP Business Application Studio – Using SAP HANA Tools with SAP Cloud Application Programming Model projectsSAP Business Application Studio – Using SAP HANA Tools with SAP Cloud Application Programming Model projectsNative HDB artifacts inside a CAP project — the case where CDS is not enough and something has to be written as a database object. Most of the work is making the two build outputs agree: an HDB module path, a CDS build output directory, and a package.json for the module, before the artifact is added and deployed. Published under an account that has since been closed, so the byline reads Former Member.Former Member, published 2021-01-14
SAP Business Application Studio – Using SAP HANA Tools with SAP Cloud Application Programming Model projects
Database connectors has changed twice since this was published, most recently in @sap/cds 10.1.0, 2026-09-07. Affects A recipe, Runnable code.
SAP CAP (Java) with Amazon Aurora PostgreSQLSAP CAP (Java) with Amazon Aurora PostgreSQLPostgreSQL, but the hyperscaler's own managed global database rather than BTP's option — Aurora, from CAP Java. One of a pair published the same day, the other being Azure's equivalent.shanthakumar_krishnaswamy, published 2023-08-02
SAP CAP (Java) with Amazon Aurora PostgreSQL
Database connectors has changed twice since this was published, most recently in @sap/cds 10.1.0, 2026-09-07. Affects A recipe, Runnable code.
SAP CAP (Java) with Azure Cosmos DB for PostgreSQLSAP CAP (Java) with Azure Cosmos DB for PostgreSQLThe Azure half of the pair: Cosmos DB speaking PostgreSQL, used from CAP Java. Same shape as the Aurora post, and reading both is how you see what is actually portable between them.shanthakumar_krishnaswamy, published 2023-08-02
SAP CAP (Java) with Azure Cosmos DB for PostgreSQL
Database connectors has changed twice since this was published, most recently in @sap/cds 10.1.0, 2026-09-07. Affects A recipe, Runnable code.
SAP HANA Cloud as an Esri GeodatabaseSAP HANA Cloud as an Esri GeodatabaseSAP's design for running an Esri ArcGIS Enterprise geodatabase inside SAP HANA Cloud, so that geometries and SAP business data sit in one database and are joined in a HANA calculation view, which is the spatial part of graph, spatial and document data. It traces three personas: an analyst in ArcGIS Pro building query layers over that view, a developer whose CAP application models spatial types such as ST_Point in CDS, and an analyst using a Fiori app on top of such an application. The deployment advice stops at placement: ArcGIS Server and HANA Cloud go in the same region and availability zone, because Esri's certified architectures allow under 5 milliseconds of network latency between them.published 2025-03-25
SFSFとHANA Cloudを使用するCAPのアプリケーション開発SFSFとHANA Cloudを使用するCAPのアプリケーション開発In Japanese. A hands-on taking data between SuccessFactors and HANA Cloud through a CAP application — the connection setup, the data and service models, then read and write logic, and a Cloud Foundry deploy. Long enough to carry its own table of contents.rasai, published 2022-12-14
SFSFとHANA Cloudを使用するCAPのアプリケーション開発
Database connectors has changed twice since this was published, most recently in @sap/cds 10.1.0, 2026-09-07. Affects A recipe, Runnable code.
SQLite as database for a multi-target (/productive) CAP ApplicationSQLite as database for a multi-target (/productive) CAP ApplicationOpens with "Not recommended but possible", and then names the two cases where it is the right call anyway: a showcase, and a landscape with no HANA Cloud available. The caveat is the content.Christopher_Ketzler, published 2024-07-05
SQLite as database for a multi-target (/productive) CAP Application
Database connectors has changed twice since this was published, most recently in @sap/cds 10.1.0, 2026-09-07. Affects A recipe, Runnable code.
Testing your CAP HANA Artifacts with jest – including multitenancy, hdbprocedure and hdbviewTesting your CAP HANA Artifacts with jest – including multitenancy, hdbprocedure and hdbviewcds.test covers the service; this covers what is underneath it, where the artifact is an hdbprocedure or an hdbview that CDS never sees. That means a real HDI container, so most of the post is about where to get one and how to give CAP access to it — the tests are the easy part once that is true.Tristan, published 2022-08-30
Testing your CAP HANA Artifacts with jest – including multitenancy, hdbprocedure and hdbview
Testing has changed 3 times since this was published, most recently in @cap-js/cds-test 1.0.0, 2026-04-23. Affects A recipe, Runnable code.
Use SAP HANA as the Database for a CAP Java ApplicationUse SAP HANA as the Database for a CAP Java ApplicationMoving a CAP Java application off the development database onto HANA, which is the step where the persistence choice stops being invisible.SAP
Using Postgresql Database in Cloud Application Programming modelUsing Postgresql Database in Cloud Application Programming modelA straight run through the official PostgreSQL guide with the steps spelled out, from initialising the server onward. Says as much itself — it follows the documentation rather than departing from it, which makes it the plainest of the PostgreSQL entries here.published 2024-05-14
Using Postgresql Database in Cloud Application Programming model
Database connectors has changed twice since this was published, most recently in @sap/cds 10.1.0, 2026-09-07. Affects A recipe, Runnable code.
Native SAP HANA artifactsSAP only
How to share tables across different CAP projectsHow to share tables across different CAP projectsFour scenarios for reading one CAP project's table from another, worked out as a matrix of what each one needs: the same HDI container and namespace, the same container under a different namespace, a different container, and a different Cloud Foundry space. The mechanics change with each step — @cds.persistence.exists on the reused entity throughout, an .hdbsynonym once namespaces diverge, .hdbrole and .hdbgrants once containers do, and a user-provided service built from the grantor's credentials once spaces do. The author flags the caveat themselves: these are learning scenarios, and consuming the OData service is often the better answer than reaching into another project's database. Dated corrections from twelve days after publication sit inline — synonyms need only the name because the configuration comes from .hdbsynonymconfig, SERVICE_REPLACEMENTS in mta.yaml removes the hard-coded service name, and the reused container need not be bound to the srv module.published 2021-10-03
Schema evolutionSAP and community
HANA Database Migration: Handling Incompatible Changes to Existing TablesHANA Database Migration: Handling Incompatible Changes to Existing TablesThe question schema evolution exists for, asked plainly: how do you restructure a table in a production system that already holds live data. Incompatible changes are the ones CAP's own alter path will not make, which is where this starts.Sekar Somasundaram, published 2025-04-16
Run and Deploy SAP CAP (Java) with PostgreSQL using Official Database Adapter @cap-js/postgresRun and Deploy SAP CAP (Java) with PostgreSQL using Official Database Adapter @cap-js/postgresThe post that records a handover. The author's earlier writing relied on the community projects cds-pg and cds-dbm; this one states that both were deprecated in favour of the official PostgreSQL support arriving with @sap/cds 7, and rewrites the path around @cap-js/postgres. For CAP Java it takes a different route to the initial schema.sql than the Node.js case, and it is candid that automatic schema deployment is convenient but not always what you want. Dated evidence for why two artifacts here went quiet.shanthakumar_krishnaswamy, published 2023-08-02
Run and Deploy SAP CAP (Java) with PostgreSQL using Official Database Adapter @cap-js/postgres
cds 7, line ended. Affects A recipe, Runnable code.
Run and Deploy SAP CAP (Node.js or Java) with PostgreSQL on SAP BTP Cloud FoundryRun and Deploy SAP CAP (Node.js or Java) with PostgreSQL on SAP BTP Cloud FoundryBoth runtimes in one walkthrough, and it stops on schema evolution — which is the reason to read it rather than one of the several other PostgreSQL posts here, since that is where the PostgreSQL story diverges from HANA's and the deploy stops being automatic.TiaXu, published 2023-07-12
Run and Deploy SAP CAP (Node.js or Java) with PostgreSQL on SAP BTP Cloud Foundry
Database connectors has changed twice since this was published, most recently in @sap/cds 10.1.0, 2026-09-07. Affects A recipe, Runnable code.
Agent access to your codeSAP and community
Agentic Engineering for SAP BTP ExtensionsAgentic Engineering for SAP BTP ExtensionsAn agent harness coordinates code generation across isolated Git worktrees, using a skills registry, SAP CAP MCP Server, Fiori MCP Server and UI5 Web Components MCP Server for development context. The diagram shows LiteLLM as a model proxy in front of SAP AI Core, while automated checks and review gate the generated changes. The worked scenario is CAP-based extensions on BTP, with specifications written before generation and reusable skills governed across teams.
Building a CAP service with cds‑mcp and Cline — HANDS‑ON SUPER BASIC GUIDE [ with screenshots ] 🍌Building a CAP service with cds‑mcp and Cline — HANDS‑ON SUPER BASIC GUIDE [ with screenshots ] 🍌Somebody following the CAP MCP server announcement all the way through, and writing down what it cost: a CAP service in VS Code wired to S/4HANA through a destination, plus the real bumps — Windows PATH and global installs — that the announcement does not have.smarchesini, published 2025-09-21
Evaluating SAP’s new MCP servers: UI5, CAP, and Fiori tools in practiceEvaluating SAP’s new MCP servers: UI5, CAP, and Fiori tools in practiceSomeone trying SAP's three new MCP servers rather than repeating the announcement. It sets the official positioning first — MCP as the bridge from coding assistants to SAP tooling across Cursor, Windsurf, Copilot, Cline and Claude Code, with best-practice scaffolds and BTP-aligned guardrails — and then reports what using them is actually like. The rare kind of post that tests a vendor claim.published 2025-09-04
Agent guidanceSAP and community
Agentic Engineering for SAP BTP ExtensionsAgentic Engineering for SAP BTP ExtensionsAn agent harness coordinates code generation across isolated Git worktrees, using a skills registry, SAP CAP MCP Server, Fiori MCP Server and UI5 Web Components MCP Server for development context. The diagram shows LiteLLM as a model proxy in front of SAP AI Core, while automated checks and review gate the generated changes. The worked scenario is CAP-based extensions on BTP, with specifications written before generation and reusable skills governed across teams.
Building a CAP service with cds‑mcp and Cline — HANDS‑ON SUPER BASIC GUIDE [ with screenshots ] 🍌Building a CAP service with cds‑mcp and Cline — HANDS‑ON SUPER BASIC GUIDE [ with screenshots ] 🍌Somebody following the CAP MCP server announcement all the way through, and writing down what it cost: a CAP service in VS Code wired to S/4HANA through a destination, plus the real bumps — Windows PATH and global installs — that the announcement does not have.smarchesini, published 2025-09-21
Agent toolingSAP and community
Agent-led test management: Hands-on lab with Joule in SAP Cloud ALMAgent-led test management: Hands-on lab with Joule in SAP Cloud ALMThe Test Management Assistant, a Joule capability in SAP Cloud ALM, worked through on project scenarios: scoping requirements, detecting coverage gaps and generating test cases with AI. The edge is to SAP Joule, which the assistant runs on; SAP Cloud ALM has no entry here, and the atlas's testing concern, proving a service's model and handlers, is not this session's test management. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Christina Pickhardt, Daniel Lorenz, Niclas Weidner and Tobias Keller, written here from SAP's abstract; the recording is not yet published.
AI-accelerated RISE with SAP migration with the system transition workbenchAI-accelerated RISE with SAP migration with the system transition workbenchSAP Joule for Consultants and the RISE with SAP system transition workbench in a move to SAP S/4HANA Cloud Private Edition: readiness assessments, migration workflows and the SAP tools involved. The edge is to SAP Joule, of which Joule for Consultants is a part; the system transition workbench has no entry here, and Platform migration covers applications leaving older BTP platforms, not an ERP system's move. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Daniel Funkert, Kristin Aleksandrova, Mirja Kempin and Moritz Gysler, written here from SAP's abstract; the recording is not yet published.
AI-native North Star architecture — Platform LayerAI-native North Star architecture — Platform LayerThe platform layer of SAP's North Star architecture, the chapter that says where agents run and what a developer builds them with. It names an AI Golden Path built on the SAP Cloud Application Programming Model, the ABAP Cloud development model with RAP and the SAP Fiori design system, and a managed agent runtime on SAP BTP that is designed to provide software development kits for building agents in any framework, an agent sandbox, container-hosted execution, a skills registry and continuous evaluations, which is the ground agent tooling covers. Agents are extended without changing their code through four patterns, the first of them tool extensibility through the Model Context Protocol, the concern MCP servers is named for; the process-layer chapter adds that a pro-code path with a standardised agent SDK and a prompt-driven path through the Joule Studio solution produce the same code artifact on the same runtime. It describes a design SAP intends rather than products that exist, and the SDK and the registry it names have no entry here yet.published 2026-05-13
AI-native North Star architecture — Platform Layer
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects A reference.
Banking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI StackBanking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI StackThe risk it is chasing is a graph problem stated in banking terms: a borrower who looks safe alone and is the linchpin of a group ten times the size. Multi-agent, mixed AI stack, on BTP and CAP.Shahid, published 2026-06-24
Banking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI Stack
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects A recipe, Runnable code.
Building agentic applications with SAP HANA CloudBuilding agentic applications with SAP HANA CloudA CAP application extended with semantic search and agent features on top of SAP HANA Cloud's vector engine and SAP AI Core, built in a hands-on workshop. The abstract names the parts, CAP, the vector engine and AI Core, and the two additions: semantic search, the retrieval half of retrieval-augmented generation, and LLM-supported agent capabilities inside the application, which is agent tooling. Which embedding model, which CAP runtime and how the agent calls its tools are not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hui Li, Ritty Joseph, Shraddha Shetty and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
Building custom Joule Agents with SAP Knowledge GraphBuilding custom Joule Agents with SAP Knowledge GraphCustom Joule Agents built in a hands-on with SAP Knowledge Graph and Joule Studio: discovering APIs from a user's intent, grounding an agent's answers in business context, and integrating data products for SAP Business Data Cloud. The agents are SAP Joule's; the Knowledge Graph is not an atlas entry, and the abstract does not say which Joule Studio edition the exercises use. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Jan Portisch, Lucas Kiesow, Pavithra G K and Rafael Martin, written here from SAP's abstract; no recording is announced.
Building enterprise agent extensions with the Joule Studio solutionBuilding enterprise agent extensions with the Joule Studio solutionExtending SAP's standard agents with third-party integrations and business actions in Joule Studio: agents that run a process across systems, call an external service, put an approval step in the middle and bring the result back into the business context, which is what SAP Joule's agents do and what Joule Studio, classic edition is in the atlas. The abstract names Joule Studio without saying which edition the exercise uses, and lists outcomes rather than the steps built. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Charan Ravikumar, Jacob Hornberger, Maria Kondratyeva and Michael Zadikowitsch, written here from SAP's abstract; the recording is not yet published.
Experience core foundational capabilities of SAP Cloud ERPExperience core foundational capabilities of SAP Cloud ERPGuided exercises in SAP S/4HANA Cloud Public Edition, which SAP calls the execution backbone of the Autonomous Enterprise: validating AI capabilities against master data for industry and domain needs, generating AI-driven KPIs and reporting summaries. The product is an external here and the abstract names no AI feature by name; the edge is to SAP Joule, SAP's AI layer across its applications and the one entry the AI capabilities of SAP Cloud ERP attach to, which the abstract itself does not name. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Akshat Kharial, Ankush Thareja and Nises Soni, written here from SAP's abstract; the recording is not yet published.
Generate agentic workflows using SAP-managed n8n in Joule StudioGenerate agentic workflows using SAP-managed n8n in Joule StudioSAP-managed n8n inside Joule Studio generates a workflow from a business intent a developer states, and the workflow is then tested and deployed, consuming line-of-business application APIs, events and agents in SAP Business AI Platform: process automation with the workflow generated from intent, and agent tooling where the workflow calls agents. The generated workflow sends notifications to the Joule Work mobile app of SAP Joule, to Microsoft Teams or to Slack. SAP's abstract names the pieces and not how the generation or the n8n hosting works. A two-hour hands-on TechEd 2026 session (Tuesday 27 October, Berlin), presented by Rama Sulakshani Murari, Rumen Dimitrov, Seshadri Sreenivas Ramanarayanan and Venugopal Chembrakalathil, written here from SAP's abstract; the recording is not yet published.
Integrating and Extending JouleIntegrating and Extending JouleSAP's reference architecture for SAP Joule across SAP cloud applications: a request is checked against a Scenario Catalog of the applications' skills and a Knowledge Catalog answered by retrieval-augmented generation, combined with the user's roles and history, sent to an LLM available through the generative AI hub, and, where a Joule function is needed, turned into a call to the backend. Its identity page is the authentication path: each user sits in the Identity Directory of Cloud Identity Services with a Global User ID, Identity Provisioning synchronises role assignments into SAP Build Work Zone, whose navigation service decides which functions a user may call, and the Destination service exchanges the user's token to call a function in the user's name. Its extension page covers Joule Studio in SAP Build, where Joule skills automate rule-based tasks over APIs and AI agents plan and reason with models and document grounding from SAP AI Core, the ground agent tooling covers; a later Joule Studio page describes a managed Joule Studio Runtime on the SAP Business AI Platform, which has no entry here.published 2026-03-16
Knowledge graph and agent memory: Build an agent that remembersKnowledge graph and agent memory: Build an agent that remembersThe knowledge graph engine in SAP HANA Cloud as an agent's memory: what the engine, the graph side of graph, spatial and document data, does in an agentic workflow, how an agent keeps what it learns there, the state agent tooling holds between turns, and the SAP AI Core integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA205 on Tuesday 27 October is the 45-minute talk on the same engine, with a near-identical abstract and a different cast. A two-hour hands-on TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Jan Zwickel, Markus Fath and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
SAP Joule for Consultants: Unified knowledge for requirements and designsSAP Joule for Consultants: Unified knowledge for requirements and designsFit-to-standard analysis as a consultant on a cloud transformation project: connecting an organisation's data to SAP Joule for Consultants through SAP AI Core, getting answers from SAP knowledge and that content, then building an expert, loading project files and running guided prompts. The edges are to SAP Joule, of which Joule for Consultants is a part, and to SAP AI Core, named as the connection path; how the data is grounded is left to the session. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Anantharaman Ravi, Natalie Han, Sachin Kaura and Yi Hsuan Lin, written here from SAP's abstract; the recording is not yet published.
Transform business data into AI-supported insightsTransform business data into AI-supported insightsBusiness metrics turned into insights, narratives and recommendations by SAP Joule's agents, with People Intelligence, the SAP Snowflake solution extension for SAP Business Data Cloud and SAP Analytics Cloud connected in SAP Business Data Cloud. The abstract names what is connected and what comes out, and does not say what the exercise builds or where the Snowflake extension sits in it; People Intelligence and the extension are not atlas entries. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Babacar Toure, Maximilian Paul Gander, Neetha Pucknat and San Tran, written here from SAP's abstract; the recording is not yet published.
Document extractionSAP only
Hands on SAP Document AI: Next-generation intelligent document processingHands on SAP Document AI: Next-generation intelligent document processingSAP Document AI configured and run by hand: schema design, splitting and classifying documents, enriching the extracted data and custom prompting are the exercises SAP's abstract names. Document extraction from the configuring side, with the schema the participant's own; which document types or models the exercises use is not stated. A TechEd 2026 hands-on session (Thursday 29 October, Berlin), presented by Christoph Lenschow, Tobias Weller and Tomasz Janasz, written here from SAP's abstract; no recording is announced.
Integrating SAP Document Information Extraction (Document AI) with SAP CAP – Step by StepIntegrating SAP Document Information Extraction (Document AI) with SAP CAP – Step by StepThe forward direction, in full: a PDF or scan arriving at a CAP service, sent to Document Information Extraction, and the fields coming back into the model. Long, and step-by-step in the literal sense — the service binding and the request shapes are all written out.furkan5, published 2025-10-09
SAP Document AISAP Document AISAP's reference architecture for SAP Document AI, first as SAP composes the service on BTP for document extraction: OCR, pretrained models, customer-defined schemas and LLM calls through SAP AI Core and its Prompt Registry in one pipeline, with tenant-isolated persistence in SAP HANA Cloud, PostgreSQL and an object store. Its scenario pages then lay out a solution in three layers: intake through Outlook and SharePoint inbound channels, the workspace UI, the Joule Work mobile app or the upload API; classification and extraction with a confidence score per field, automatic confirmation above a threshold and review of the rest in the workspace; and posting through outbound channels, directly to a REST API, through an SAP Integration Suite flow, or through a CAP service that maps the fields and calls SAP S/4HANA over OData. Enrichment beyond the service's own master data lookup is left to a CAP application or an Integration Suite flow triggered from an outbound channel, and direct API posting leaves error handling, retries and monitoring to the application.published 2026-06-03
Use Free Tier to Create a Service Instance for SAP Document AIUse Free Tier to Create a Service Instance for SAP Document AIFour steps in the SAP BTP cockpit that end with a service key for SAP Document AI: open the cockpit, check the subaccount's entitlements and add the service on the free tier plan if it is not listed, create the instance, then create the key. It names the plans to use in production instead, blocks_of_100, embedded_edition and premium_edition, and stops at the credentials, before any document is uploaded.
Use Free Tier to Subscribe to SAP Document AI Basic UIUse Free Tier to Subscribe to SAP Document AI Basic UIEight steps from an entitled subaccount to the SAP Document AI basic UI open in a browser, and most of them are identity work rather than document work: getting a tenant for Cloud Identity Services, which the basic UI requires, activating the account and establishing trust with the subaccount, then subscribing, creating a user and assigning the Document_Information_Extraction_UI_Templates_Admin role collection. Using the UI to read a document is the subject of Use Machine Learning to Extract Information from Documents with the SAP Document AI Basic UI, which this tutorial names as what to read next.
LLM integrationSAP and community
Agentic CAP: Build MCP servers and enterprise AI agentsAgentic CAP: Build MCP servers and enterprise AI agentsCAP applications become AI agents over the Model Context Protocol and the Agent2Agent protocol, which is the serve your application over MCP concern, and SAP AI Core is the LLM integration through which AI is embedded in a CAP app, with recommendations from the SAP-RPT-1 model as the abstract's example. The abstract names the two protocols and the one model and does not say which packages carry them. A two-hour TechEd 2026 session in a hands-on room (Tuesday 27 October, Berlin), presented by Daniel Hutzel, Daniel Schlachter, Marc Huber and Sami Lechner, written here from SAP's abstract; the recording is not yet published.
Banking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI StackBanking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI StackThe risk it is chasing is a graph problem stated in banking terms: a borrower who looks safe alone and is the linchpin of a group ten times the size. Multi-agent, mixed AI stack, on BTP and CAP.Shahid, published 2026-06-24
Banking Sentinel: A Multi-Agent Credit-Risk Copilot on SAP BTP, Built on a Mixed AI Stack
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects A recipe, Runnable code.
Building agentic applications with SAP HANA CloudBuilding agentic applications with SAP HANA CloudA CAP application extended with semantic search and agent features on top of SAP HANA Cloud's vector engine and SAP AI Core, built in a hands-on workshop. The abstract names the parts, CAP, the vector engine and AI Core, and the two additions: semantic search, the retrieval half of retrieval-augmented generation, and LLM-supported agent capabilities inside the application, which is agent tooling. Which embedding model, which CAP runtime and how the agent calls its tools are not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hui Li, Ritty Joseph, Shraddha Shetty and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
cds-toon-ai-protocol-adapter: a pragmatic way to cut AI token costs using SAP CAPcds-toon-ai-protocol-adapter: a pragmatic way to cut AI token costs using SAP CAPNames a cost most CAP-plus-LLM writing ignores: every JSON payload streamed to a model is billed by its verbosity, in latency as well as money. The plugin brings TOON — Token-Oriented Object Notation — to a CAP service so the wire format changes without the service code doing so, in a REST variant and an OData one, with token counts reported on both sides.published 2026-01-25
Data MaskingData MaskingData masking replaces identifiable or confidential text in a prompt with placeholders such as <Person_0> or <Organization_1> before it reaches a large language model, using pattern matching and machine learning to find what to replace. The page states SAP AI Core supports it as a feature and sets out five steps for applying it, defining the masking scope, choosing a technique, preserving the prompt's intent, checking compliance and risk, then testing and monitoring the result. That is the shape data masking takes on the BTP door.
Document GroundingDocument GroundingDocument Grounding is a managed retrieval-augmented-generation service under the Generative AI Hub on BTP, which SAP's page on SAP AI Core places inside that service: it ingests documents from Amazon S3, SharePoint, SAP Document Management Service, SAP Work Zone or an SFTP server, and handles chunking, embedding and retrieval itself, refreshing content automatically when a source document changes. The page states this managed path is recommended for most enterprise scenarios because it covers the whole lifecycle end to end, and offers a separate Document Grounding Vector API for data that is already chunked and embedded, for cases that need finer control over chunking and metadata.
Enhancing Enterprise Applications: AI-powered User Experience with SAP CAP AI PluginEnhancing Enterprise Applications: AI-powered User Experience with SAP CAP AI PluginStarts from the blank form nobody wants to fill in, and asks what an enterprise application should do about it. The AI is in service of that rather than the subject of it.published 2026-04-29
Generative AI on SAP BTPGenerative AI on SAP BTPThe reference shape for a generative AI application on BTP: a CAP backend, SAP HANA Cloud holding data and embeddings for similarity search through its vector engine, and the Generative AI Hub in SAP AI Core as the single access point to foundation models. It shows retrieval-augmented generation on that stack and names the CAP plugins and SDKs that connect the pieces, for both Cloud Foundry and Kyma.published 2025-09-02
Generative AI on SAP BTP
LLM integration changed in @cap-js/ai 1.0.0, 2026-04-28. Affects A reference.
HANA Cloud’s VECTOR EMBEDDING in CAP and Comparison with OpenAI EmbeddingHANA Cloud’s VECTOR EMBEDDING in CAP and Comparison with OpenAI EmbeddingTwo ways to produce the same embedding, run side by side: HANA Cloud's own VECTOR_EMBEDDING function against Azure OpenAI through the CAP LLM plugin. The CDS side is short — an element of type cds.Vector maps to REAL_VECTOR on deploy — so what remains is the comparison, which is the thing you cannot get from either product's documentation alone.lalitmohan, published 2025-04-09
How to Reduce Prompt Token Costs Using Toon = Save MoneyHow to Reduce Prompt Token Costs Using Toon = Save MoneyToken spend treated as a running cost rather than a detail, and TOON as the lever. Companion reading to the CAP adapter for the same format that is indexed here.Yogananda, published 2025-11-12
How to Reduce Prompt Token Costs Using Toon = Save Money
LLM integration changed in @cap-js/ai 1.0.0, 2026-04-28. Affects A recipe, Runnable code.
Knowledge graph and agent memory: Build an agent that remembersKnowledge graph and agent memory: Build an agent that remembersThe knowledge graph engine in SAP HANA Cloud as an agent's memory: what the engine, the graph side of graph, spatial and document data, does in an agentic workflow, how an agent keeps what it learns there, the state agent tooling holds between turns, and the SAP AI Core integration through which the database calls LLMs and tabular foundation models such as SAP-RPT-1. The abstract names the engine, the memory role and the AI Core link and does not say how the memory is written or read. DA205 on Tuesday 27 October is the 45-minute talk on the same engine, with a near-identical abstract and a different cast. A two-hour hands-on TechEd 2026 session (Wednesday 28 October, Berlin), presented by Christoph Morgen, Jan Zwickel, Markus Fath and Thomas Hammer, written here from SAP's abstract; the recording is not yet published.
Natural Language Queries for SAP CAP via MCP: The LLM Translates, CDS ExecutesNatural Language Queries for SAP CAP via MCP: The LLM Translates, CDS ExecutesThe division of labour is the argument, and it is in the subtitle: the model turns English into a CDS query and CDS runs it, so nothing generates SQL and nothing hallucinates a join. Schema annotations do the resolving. Long, with the package, the repository and the MCP registry entry all linked.Shahid, published 2026-06-25
Prompt TemplatingPrompt TemplatingPrompt templating replaces a static prompt with a structured, reusable template whose placeholders are filled in at runtime, which the page says helps LLM responses stay consistent and lets the same instructions be adapted across tasks. On SAP AI Core this is implemented through the Prompt Registry, and the page states that storing prompts as plain strings in code is possible but not recommended. That is prompt management as a stored and managed object rather than a string embedded in the caller.
RAG with SAP HANA Cloud Vector Engine, GenAI Hub & CAPRAG with SAP HANA Cloud Vector Engine, GenAI Hub & CAPThe end-to-end version: a CAP service exposing the vector engine and the AI hub behind a couple of endpoints, answering where a CodeJam is on a given date. It has aged in a way the author has marked in the page itself — the section on the CAP LLM plugin now carries "(Outdated)" in its own heading — so read the embedding preparation and the retrieval shape, and check the plugin part against the package.KevinR, published 2024-05-21
SAP Joule for Consultants: Unified knowledge for requirements and designsSAP Joule for Consultants: Unified knowledge for requirements and designsFit-to-standard analysis as a consultant on a cloud transformation project: connecting an organisation's data to SAP Joule for Consultants through SAP AI Core, getting answers from SAP knowledge and that content, then building an expert, loading project files and running guided prompts. The edges are to SAP Joule, of which Joule for Consultants is a part, and to SAP AI Core, named as the connection path; how the data is grounded is left to the session. A TechEd 2026 hands-on session (Wednesday 28 October, Berlin), presented by Anantharaman Ravi, Natalie Han, Sachin Kaura and Yi Hsuan Lin, written here from SAP's abstract; the recording is not yet published.
SAP-RPT and TabPFN: Get started with tabular foundation modelsSAP-RPT and TabPFN: Get started with tabular foundation modelsTabular foundation models, SAP-RPT and TabPFN, in a hands-on with SAP and Prior Labs: the model families first, then predictions run through SAP AI Core with a workflow built on tabular orchestration and connected to the participant's own data for real-time predictions. A predictive models session with the models as the subject; the abstract does not name the SDK or API the workflow is built with. A TechEd 2026 hands-on session (Thursday 29 October, Berlin), presented by Eliott Kalfon, Janick Zaehringer-Frasch, Johannes Hoehne, Katharina Schell, Nilay Mehta and Sherene Tan, written here from SAP's abstract; no recording is announced.
Streaming LLM Output with CAP and WebSocketsStreaming LLM Output with CAP and WebSocketsTokens arriving from the AI SDK's orchestration module, forwarded to the browser as they come rather than after the model finishes. Covers all four pieces — enabling WebSocket support in CAP, a service with actions and events, the streaming itself, and a frontend on the native WebSocket API — which is what makes it the clearest case for why a CAP service would want a socket at all.RobinP, published 2025-11-18
Streaming LLM Output with CAP and WebSockets
LLM integration changed in @cap-js/ai 1.0.0, 2026-04-28. Affects A recipe, Runnable code.
RAG on CDSSAP and community
Building agentic applications with SAP HANA CloudBuilding agentic applications with SAP HANA CloudA CAP application extended with semantic search and agent features on top of SAP HANA Cloud's vector engine and SAP AI Core, built in a hands-on workshop. The abstract names the parts, CAP, the vector engine and AI Core, and the two additions: semantic search, the retrieval half of retrieval-augmented generation, and LLM-supported agent capabilities inside the application, which is agent tooling. Which embedding model, which CAP runtime and how the agent calls its tools are not stated. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Hui Li, Ritty Joseph, Shraddha Shetty and Tanuja Jadhav, written here from SAP's abstract; the recording is not yet published.
Document GroundingDocument GroundingDocument Grounding is a managed retrieval-augmented-generation service under the Generative AI Hub on BTP, which SAP's page on SAP AI Core places inside that service: it ingests documents from Amazon S3, SharePoint, SAP Document Management Service, SAP Work Zone or an SFTP server, and handles chunking, embedding and retrieval itself, refreshing content automatically when a source document changes. The page states this managed path is recommended for most enterprise scenarios because it covers the whole lifecycle end to end, and offers a separate Document Grounding Vector API for data that is already chunked and embedded, for cases that need finer control over chunking and metadata.
Generative AI on SAP BTPGenerative AI on SAP BTPThe reference shape for a generative AI application on BTP: a CAP backend, SAP HANA Cloud holding data and embeddings for similarity search through its vector engine, and the Generative AI Hub in SAP AI Core as the single access point to foundation models. It shows retrieval-augmented generation on that stack and names the CAP plugins and SDKs that connect the pieces, for both Cloud Foundry and Kyma.published 2025-09-02
Generative AI on SAP BTP
LLM integration changed in @cap-js/ai 1.0.0, 2026-04-28. Affects A reference.
HANA Cloud’s VECTOR EMBEDDING in CAP and Comparison with OpenAI EmbeddingHANA Cloud’s VECTOR EMBEDDING in CAP and Comparison with OpenAI EmbeddingTwo ways to produce the same embedding, run side by side: HANA Cloud's own VECTOR_EMBEDDING function against Azure OpenAI through the CAP LLM plugin. The CDS side is short — an element of type cds.Vector maps to REAL_VECTOR on deploy — so what remains is the comparison, which is the thing you cannot get from either product's documentation alone.lalitmohan, published 2025-04-09
RAG with SAP HANA Cloud Vector Engine, GenAI Hub & CAPRAG with SAP HANA Cloud Vector Engine, GenAI Hub & CAPThe end-to-end version: a CAP service exposing the vector engine and the AI hub behind a couple of endpoints, answering where a CodeJam is on a given date. It has aged in a way the author has marked in the page itself — the section on the CAP LLM plugin now carries "(Outdated)" in its own heading — so read the embedding preparation and the retrieval shape, and check the plugin part against the package.KevinR, published 2024-05-21
Tool governanceCommunity only
Agentic Engineering for SAP BTP ExtensionsAgentic Engineering for SAP BTP ExtensionsAn agent harness coordinates code generation across isolated Git worktrees, using a skills registry, SAP CAP MCP Server, Fiori MCP Server and UI5 Web Components MCP Server for development context. The diagram shows LiteLLM as a model proxy in front of SAP AI Core, while automated checks and review gate the generated changes. The worked scenario is CAP-based extensions on BTP, with specifications written before generation and reusable skills governed across teams.
Third-Party MCP Server Access to SAP Solutions on BTPThird-Party MCP Server Access to SAP Solutions on BTPDescribes external MCP servers and custom servers on BTP, assigning their operators responsibility for authentication, scoped identity, API limits, logging and lifecycle. The permitted use remains conditional on the SAP API Policy, while SAP Integration Suite and Joule Studio are described as SAP-provided paths. Hosting a server on BTP does not automatically supply its governance controls.Dhawal Joshi, Harut Ter-Minasyan, Mirko Günther