Phase 14 · Retrieval-Augmented Generation & Vector Databases
TopicsVector Databases (Pinecone, Chroma, Weaviate, FAISS)
Part of the AI Engineer Roadmap.
Summary
Databases optimized for storing and searching high-dimensional embedding vectors at scale — the storage layer every real RAG system is built on.
How to Learn This
- 1Set up a local vector store (Chroma or FAISS) and index a small document set.
- 2Learn the trade-offs between a managed service (Pinecone) and self-hosted options.
- 3Understand indexing strategies (HNSW, IVF) at a conceptual level.
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