FAISS on a Mac

Fast in-process vector similarity search (library) · Vector Databases

FAISS (Facebook AI Similarity Search) is a library for fast nearest-neighbour search over dense vectors; the in-process engine behind many RAG pipelines. It's not a server: pip install faiss-cpu (or faiss-gpu) and use it from Python, persisting the index to disk. For a networked vector database, see Qdrant, Milvus or pgvector.

Run FAISS with FrontierStack

Install or connect FAISS; then check its status, ports and certificate from FrontierStack. The same screen links to firewall checks, Malware Audit and backups where they apply.

Related in Vector Databases

• Qdrant
• Chroma
• Weaviate
• Milvus
• pgvector