Module 4 — RAG & Retrieval Systems
Vector databases, document chunking, RAG pipelines, and observability — making AI work with your data.
Topics
What's inside this module
- Vector databases
ChromaDB, pgvector, Pinecone — setup and comparison.
- Document indexing & chunking
Processing your own content for semantic search.
- RAG pipeline design
End-to-end retrieval-augmented generation.
- Observability
LangSmith, Langfuse — tracing, evaluation, cost tracking.