技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: bm25

英文目录

Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI

4.4K
Stars
73/100
信任
分类: data审计

Fast BM25 search in Python, powered by Numpy and Numba

1.7K
Stars
77/100
信任
分类: data审计

🧠 纯原生 Python 实现的 RAG 框架 | FAISS + BM25 混合检索 | 支持 Ollama / SiliconFlow | 适合新手入门学习

939
Stars
68/100
信任
分类: rag-knowledge审计

Claude Code harness for AI coding agents. Hybrid-RAG librarian picks relevant rules in 0.59 ms p95 (BM25 + vector + graph traversal); process keeper blocks writes until plan + tests approved. 276 rules / 30 mandatory across 12 domains, 6 cross-language analyzers. Neo4j + Tantivy + hnswlib + ONNX.

152
Stars
69/100
信任
分类: coding-agents审计

Fast, AI-agent-native code search in Rust — hybrid BM25 + semantic, Tree-sitter AST chunking, dependency & impact analysis. Drop-in replacement for grep/cat/read/ls in Claude Code, Codex, Cursor, Aider, OpenHands.

132
Stars
64/100
信任
分类: coding-agents审计

Production-grade RAG API built in Rust. Hybrid search with HNSW dense vectors and BM25 sparse matching, cross-encoder reranking, layout-aware document extraction via Docling, and 94.5% accuracy on Open RAG Bench. Powered by Cerebras, Groq, Milvus, and Jina AI.

196
Stars
63/100
信任
分类: document-processing审计

Self-hosted semantic code search platform — Go server with web dashboard, CLI, and AI-agent skills. Search code by meaning, not text: hybrid BM25 + dense embeddings via llama.cpp.

27
Stars
66/100
信任
分类: utility审计

Self-hosted RAG search engine — 34 formats, BM25+hybrid search, multi-LLM (Gemini/OpenAI/Claude/Ollama), FastAPI + Docker, production-ready in 3 min

105
Stars
67/100
信任
分类: rag-knowledge审计

A local-first RAG knowledge base for Pi agents that indexes code, docs, and notes for persistent, searchable project memory across sessions.

11
Stars
66/100
信任
分类: coding-agents审计

Look up information in SigNoz documentation. Make sure to use this skill whenever the user asks "how do I", "where in the docs", "what does the docs say about", "find docs for", or otherwise needs reference material on SigNoz instrumentation, OpenTelemetry setup, self-hosted deployment, API endpoints, auth headers, or troubleshooting steps — even if they don't say the word "docs" explicitly. Docs lookup only — for actions inside SigNoz, the agent will pick the matching `signoz-*` action skill.

15
Stars
63/100
信任
分类: research审计