fleet-doc-rag

To add a document brain to your chat app for domain-specific retrieval, use a hybrid RAG service that ingests documents and creates domain-aware embeddings, keeping retrieval logic separate from the chat application itself.

Hybrid retrieval combines a document brain with a chat brain by ingesting domain-specific documents into local collections and ranking the results alongside the chat app's existing information retrieval capabilities.

Yes, you need FastAPI, Qdrant, and Ollama to deploy and operate this domain-aware document RAG service, as they handle the API service, vector collections, and local embeddings respectively.

To ingest domain-specific documents without creating duplicate entries, use idempotent ingestion commands that ensure repeated operations do not duplicate data within the Qdrant vector collections.

When the document RAG service fails during chat app retrieval, the application handles failures gracefully with graceful degradation, ensuring the app degrades to local-only retrieval if needed.