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LangChain · Retrieval-augmented generation
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Sets up FAISS for fast nearest-neighbor search over large collections of dense vectors, choosing between Flat, IVF, HNSW and product quantization indexes. | Orchestra-Research/ | 13k | 6 repos | ~1.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 2 | A skill your agent uses for anything involving the Synalinks neuro-symbolic LM framework (Keras-inspired): DataModel/Field/Input, JSON operators (+ & | ^ ~), synalinks.ops… | SynaLinks/ | 907 | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | 12 days ago |
| 3 | A Chinese-language guide and reference for building agents with LangGraph 1.0, from a first ReAct agent through middleware, memory, MCP, RAG and web search. | luochang212/ | 457 | — | ~837 | Automated safety check: Notes | Unknown | 1 mo ago |
| 4 | Quick reference for wdoc, a command-line and Python tool that summarizes, searches and answers questions over documents of many file types. | thiswillbeyourgithub/ | 545 | — | ~1.1k | Automated safety check: Pass | AGPL-3.0 | 1 mo ago |
| 5 | Search 2500+ curated ChatGPT and LLM open-source repositories. | taishi-i/ | 3.3k | — | ~3.8k | Automated safety check: Pass | CC0-1.0 | 3 days ago |
| 6 | Shows how to use Pinecone, a managed vector database, for production RAG, semantic search and recommendations: indexes, upserts, queries, filters and namespaces. | Orchestra-Research/ | 13k | 5 repos | ~2k | Automated safety check: Pass | MIT | 3 mo ago |
| 7 | Guide developers through creating a custom generation pipeline plugin for AutoRAG-Research. | NomaDamas/ | 149 | — | ~871 | Automated safety check: Notes | Apache-2.0 | 2 mo ago |
| 8 | Framework for building LLM-powered applications with agents, chains, and RAG. | Orchestra-Research/ | 13k | 2 repos | ~3.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 9 | Generates text embeddings locally with the sentence-transformers library for RAG, semantic search, clustering and similarity, with model picks for general, multilingual and legal text. | Orchestra-Research/ | 13k | 2 repos | ~1.6k | Automated safety check: Pass | MIT | 3 mo ago |
| 10 | 10.AI Engineer Principal AI Architect and Machine Learning Engineer. An agent skill from Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI. | Dokhacgiakhoa/ | 508 | — | ~1.1k | Automated safety check: Pass | Unknown | 4 mo ago |
| 11 | Guide to designing n8n AI agents: choosing between Agent, chain, classifier and extractor nodes, wiring model, memory, tools and parser, plus RAG and human review. | czlonkowski/ | 6.4k | — | ~6.8k | Automated safety check: Pass | MIT | 2 days ago |
| 12 | Designs retrieval-augmented generation systems: document chunking, embeddings, vector store setup, hybrid search, reranking and retrieval evaluation, with checks at each step. | Jeffallan/ | 12k | — | ~2k | Automated safety check: Pass | MIT | 8 days ago |
| 13 | Context enrichment for agentic AI application development using LangChain, Vercel AI SDK, and assistant-ui. | rsmdt/ | 560 | — | ~501 | Automated safety check: Pass | MIT | 2 mo ago |
| 14 | INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. | langchain-ai/ | 1.3k | — | ~3.9k | Automated safety check: Pass | MIT | 2 days ago |
| 15 | Re-ingest-correctness SOP for production RAG. An agent skill from agentsope/SkillAlchemy. | agentsope/ | 436 | — | ~6.8k | Automated safety check: Pass | MIT | 2 days ago |
| 16 | Operating-system distillation of LlamaIndex — the leading RAG / document-agent framework. | agentsope/ | 436 | — | ~6.4k | Automated safety check: Pass | MIT | 2 days ago |
| 17 | Security-first SOP for multi-tenant RAG systems. An agent skill from agentsope/SkillAlchemy. | agentsope/ | 436 | — | ~9.8k | Automated safety check: Pass | MIT | 2 days ago |
| 18 | Ingests unstructured and semi-structured documents into Neo4j as a knowledge graph. | neo4j-contrib/ | 114 | — | ~5.4k | Automated safety check: Notes | MIT | yesterday |
| 19 | Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python package (v1.22.0+). | neo4j-contrib/ | 114 | — | ~4.2k | Automated safety check: Notes | MIT | yesterday |
| 20 | Load and chunk documents for LangChain 1.0 RAG pipelines correctly — language-aware splitters, table-safe PDF loaders, Cloudflare-compatible web loaders, chunk-boundary strategies that survive… | jeremylongshore/ | 2.8k | — | ~4.1k | Automated safety check: Pass | MIT | yesterday |