RAG Knowledge Base Management

Description

Provides tooling to ingest, chunk, embed, and index enterprise content — documents, web pages, FAQs, product manuals — into a vector knowledge base. Includes refresh pipelines to keep the knowledge base current as source documents change.

Canonical use case

A software vendor ingests its entire documentation portal into a RAG knowledge base, enabling the support bot to answer version-specific questions with cited passages from the official docs.