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RAG & Knowledge Systems

GenAI Mail Insights

GenAI Mail Insights is an open-source TypeScript SAP CAP reference application that demonstrates email analysis and retrieval-augmented generation on SAP Business Technology Platform, with single-tenant and multitenant sample versions.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

GenAI Mail Insights — OpenViST project profile in RAG & Knowledge Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use the repository when you want a working reference and tutorial for adapting GenAI and RAG patterns to an email customer-support application on SAP BTP.

Who it is for

  • Developers building GenAI applications on SAP BTP
  • SAP partners and customers exploring email-based customer-support workflows
  • Teams evaluating SAP AI Core, LangChain, CAP and vector-based retrieval patterns

Documented uses

  • Categorise incoming support emails and assess their sentiment and urgency.
  • Extract key facts and configurable fields, such as location.
  • Find similar historical emails using embeddings and SAP HANA Cloud’s Vector Engine.
  • Summarise or translate email subjects and bodies.
  • Generate potential customer replies influenced by configurable actions and services.
Before you choose

Requirements & limits

The repository is public and identifies its license as Apache-2.0.

  • The sample is built around SAP BTP and SAP CAP, with SAP AI Core and SAP HANA Cloud components in its documented architecture.
  • The business scenario is travel-agency customer support, though the README says it can be adapted for other industries.
  • The tutorial covers landscape setup, deployment, testing and extension in the reader’s own SAP BTP environment.
  • The README documents a Paketo build workaround involving @cap-js/sqlite.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Follow the sample’s SAP BTP deployment tutorial

Progress through the repository’s documented setup, deployment, testing and extension stages for a single-tenant or multitenant version.

Before you start

  • An SAP BTP landscape
  • The repository’s tutorial chapters

Steps

  1. Read the scenario introduction.

  2. Set up the SAP BTP landscape using the tutorial.

  3. Follow the scenario deployment chapter.

  4. Continue to application testing and then the extension chapter.

Expected outcome

A documented path through setup, deployment, testing and extension of the selected sample version.

Guide limitations

  • The tutorial requires the reader’s own SAP BTP landscape.
  • The README notes a Paketo build workaround: install @cap-js/sqlite without saving it in the package dependencies from the relevant single- or multitenant code directory.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Retrieval-augmented applications

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
GenAI Mail InsightsCategorise incoming support emails and assess their sentiment and urgency.Cloud, ServerThe repository is public and identifies its license as Apache-2.0.
Rag Powered AI Assistant Transforming Data Retrieval And Analysis Across The Web And PdfsRetrieve relevant passages from web and PDF content to answer a question.Web
LangChain in Supabase Edge FunctionsInitialize and start a Supabase project locally.Cloud, Server
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
12 October 2026
Original website title
SAP-samples/btp-cap-genai-rag · Official homepage title · retained in its source language
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