4 docs tagged with "vector-store"

Chroma is a local-first, embedded vector database — no server to run, one pip install, data on disk. It's the default recommendation for learning and prototyping in this section.

FAISS is an in-process similarity search library — the index lives in memory inside your Python process, with no server and no persistence unless you save it explicitly.

pgvector is a Postgres extension that adds a vector column type and nearest-neighbour operators, so embeddings live next to the relational data they describe instead of in a separate system.

Pinecone is a managed, hosted vector database — no infrastructure to run, but the index itself is a billed cloud resource rather than a free local file.