faiss
FAISS - Efficient Similarity Search
Facebook AI's library for billion-scale vector similarity search.
When to use FAISS
Use FAISS when:
- Need fast similarity search on large vector datasets (millions/billions)
- GPU acceleration required
- Pure vector similarity (no metadata filtering needed)
- High throughput, low latency critical
- Offline/batch processing of embeddings
Metrics:
- 31,700+ GitHub stars
- Meta/Facebook AI Research
- Handles billions of vectors
- C++ with Python bindings
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