FAISS
Open-source similarity search library developed by Meta/Facebook AI Research. Provides efficient similarity search and clustering on large-scale vector data, optimized for research and custom deployments.
Overview
| Category | Vector Db |
| Self-Hostable | Yes |
| On-Prem | No |
| Best For | hobby, startup |
| Last Verified | 2026-02-13 |
Strengths & Weaknesses
Strengths:- performance
- cost
- not a full database system
- requires custom infrastructure
- steep learning curve
- no persistence by default
When to Use
Best when:- need ultra-fast similarity search
- working on research projects
- building custom vector solutions
- require in-memory search