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.
安装
npx skills add NousResearch/hermes-agent --skill faissnpx skills add NousResearch/hermes-agent --skill faiss -a claude-code -gnpx skills add NousResearch/hermes-agent --skill faiss -a codex -ggemini skills install https://github.com/NousResearch/hermes-agent.git --path optional-skills/mlops/faissgh skill install NousResearch/hermes-agent faissgit clone --depth 1 https://github.com/NousResearch/hermes-agent /tmp/NousResearch__hermes-agent
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/NousResearch__hermes-agent/optional-skills/mlops/faiss ~/.claude/skills/faiss # Claude Code
cp -R /tmp/NousResearch__hermes-agent/optional-skills/mlops/faiss ~/.agents/skills/faiss # Codex, Cursor, Gemini CLI, Copilot, OpenCode