1,783 tagged RAG and vectors, measured the same way as everything else here.
Browse within: workflow 142wanwu 107enterprise-ai 96local-llm 89gdpr 85proactive-agent 84embeddings 77skills 72nextjs 61LangChain 58ai-tools 54fastapi 54ai-skills 53chatgpt 53
Skill Claude CodeCodex
Spectral vector search using graph Laplacian eigenstructure. Build signal graphs, run λτ-indexed queries, and analyse spectral properties of vector datasets.
Skill Claude CodeCodex
A Retrieval-Augmented Generation (RAG) system implemented in Go using YZMA (llama.cpp) for local embeddings and DuckDB as a vector database.
Skill Claude CodeCodex
Build AI chat interfaces using ai-elements components — conversations, messages, tool displays, prompt inputs, and more. Use when the user wants to build a chatbot, AI assistant UI, or any AI-powered chat interface.
Skill Claude CodeCodex
A question-answering skill for Noita, a game involving spells, wands, perks, enemies, bosses, alchemy, maps, and world lore. It searches a local Chinese Noita wiki and uses the results to answer questions.
jlldavies/go4-llm-design-patterns
Skill Claude CodeCodex
Use when designing, architecting, planning, or debugging any system with an LLM in it — agents, agent loops, RAG and retrieval, prompt pipelines, multi-agent or subagent orchestration, tool use and MCP, memory and context management, evals, or production guardrails. Trigger BEFORE committing to an approach — choosing…
Skill Cursor
Guides development work on the Ship of Theseus GraphRAG pipeline — adding or modifying entity extraction, community detection, summarisation, embedding, or Neo4j persistence. Use when the user wants to change the knowledge-brain pipeline, add a new pipeline step, tune LLM prompts, modify Neo4j graph schema, or debug…
may215/antigravity-awesome-group-skills
Skill Claude CodeCodex
Group skill: AI/LLM application — provider selection, app patterns, RAG, agents, prompts, evaluation, safety, and monitoring.
Skill Claude CodeCodex
Reasoning-guided pipeline planner that generates standard DataFlow-KG pipeline code for knowledge-graph extraction and KG-based QA generation.
Skill Codex
Use when a RAG request needs bounded multi-round evidence gathering with Critic-based sufficiency checks before returning an answer.
Skill Claude Code
Use when writing code in an app that does semantic search, RAG, or ingests documents into a vector database on the platform — running nearest-neighbor queries, listing/adding/removing documents, or feeding retrieved chunks into an LLM. Covers VectorDatabaseQuery(), ListDocumentsInVectorDatabase()…
vaquarkhan/platform-engineering-agent-skills
Skill Claude CodeCodex
Implements DataOps CI/CD with lakeFS-style branching, pre-commit data validation hooks, and deterministic RAG ingestion with vector DB as fuzzy recall fallback. Use when building data pipelines, RAG systems, or isolated dev/test data environments.
Skill Claude CodeCodex
Expert-level skill for building production-ready AI agents and agentic systems using the Agno framework. Covers agent architecture, multi-agent teams, AgentOS deployment, tool integration, RAG patterns, and production best practices.
Skill Claude CodeCodex
PostgreSQL RAG Data Ingestion and Retrieval Operations Tool - supports keyword search (BM25), vector search, and hybrid search.
Skill Cursor
Master orchestration skill for implementing plex-mcp v2.5+ roadmap projects. Use when the user asks about building deep metadata enrichment, subtitle RAG, taste modelling, mood-based nightly picker, episode intelligence, or cross-library linking for plex-mcp. Directs work to the appropriate per-project SKILL and…
Skill Claude CodeCodex
A local-first memory and knowledge service that an AI client can access through MCP or HTTP. It stores long-term facts and preferences, indexes documents and web pages, and supports retrieval while offline.
Skill Claude CodeCodex
A knowledge-base search tool that uses Mortis'RAG MCP to find notes or other stored material, read original text, check indexes, and register libraries.
Skill Claude CodeCodex
Use when working with StrataDB / stratadb — an embedded multi-model database (key-value, JSON documents, vectors, events, graphs) with git-style branches and time travel. Covers opening databases from Python or the CLI, choosing a primitive, branch isolation, as-of reads, typed error handling, and built-in inference…
Skill Claude CodeCodex
Turn text into embedding vectors with Forge (Voxell's hosted embedding API) for semantic search, RAG retrieval, clustering, dedup, or similarity. Use when the user wants to embed text/documents/queries, build or query a vector index, find similar or duplicate text, or pick an embedding model and dimension. Provides…
Skill Claude Code
A skill that sends a search query to a script and receives text from a retrieval-augmented generation system, which finds relevant source material before producing an answer.
Skill Claude Code
A search procedure from an agent-skills collection, with instructions written partly in Japanese.
Skill Claude CodeCodex
Expert guide for building applications with Qdrant Edge — the embedded, offline-capable vector search engine for edge devices (robots, kiosks, mobile phones, IoT, home assistants). Use this skill whenever the user mentions Qdrant Edge, qdrant-edge-py, EdgeShard, on-device vector search, offline vector search, embedded…
Skill Claude CodeCodex
Qdrant MCP Server management and diagnostics skill. Use whenever working with the qmcp (QDrant MCP Server) project for semantic code search. Activates on queries about: Qdrant database state, collections, or indexed content Cleaning up vector database (orphans, stale vectors, missing files) Understanding what's…
Unity-Billal-mesloub/mcp-documentation-server
Skill Claude CodeCodex
Use when you need to store, retrieve, search, or manage documents in a local knowledge base with semantic search and hybrid (vector + full-text) retrieval. Also use when interacting with the documentation server web interface, managing uploads, or performing AI-powered document analysis. Use this instead of MCP-native…
Skill Claude CodeCodex
Search, ingest, expand chunk context, or manage local documents via a local RAG MCP server (tools: querydocuments, readchunkneighbors, ingestfile, ingestdata, deletefile, listfiles). Use when user says "search my docs", "save this page", "read around that chunk", "what did I save about X", or invokes npx mcp-local-rag.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: