RAG Across Multiple Data Sources — Roadmap Step & Resources
Combining documents, databases and APIs into one retrieval layer
- Level: beginner
- Estimated time: 1 days
- Roadmap: Retrieval-Augmented Generation (RAG) & Vector Databases
Before this step
Study resources
- Pinecone Learning Center (Article) — A vector database provider's extensive educational content on embeddings, retrieval and RAG architecture. Background reading/viewing for: RAG Across Multiple Data Sources.
- LangChain Documentation (Article) — Official documentation on combining multiple data sources in a retrieval layer. Relevant to: RAG Across Multiple Data Sources.
Part of
- Multi-Source and Multi-Modal RAG — section
- Retrieval-Augmented Generation (RAG) & Vector Databases roadmap — the full learning path