faiss

SKILL.md

| Index Type | Build Time | Search Time | Memory | Accuracy |

| Flat | Fast | Slow | High | 100% | | IVF | Medium | Fast | Medium | 95-99% | | HNSW | Slow | Fastest | High | 99% | | PQ | Medium | Fast | Low | 90-95% |

Facebook's library for efficient similarity search and clustering of dense vectors. Supports billions of vectors, GPU acceleration, and various index types (Flat, IVF, HNSW). Use for fast k-NN search, large-scale vector retrieval, or when you need pure similarity search without metadata. Best for high-performance applications. Source: ovachiever/droid-tings.

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/ovachiever/droid-tings --skill faiss Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

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