RAG & Vector Databases
Vector Databases and Similarity Search
Distance metrics, HNSW and IVF indexes, filtering and choosing a store.
Advanced 20 min For: Developers / Researchers ✎ In progress
✎ This lesson is still being written. Below is the planned outline; it is not indexed by search engines yet.
What this lesson will cover
- Cosine, dot product, L2
- Approximate nearest neighbour (HNSW, IVF)
- Metadata filtering
- Choosing a vector store