--- name: "rag-architect" description: "RAG Architect - POWERFUL" --- # RAG Architect - POWERFUL ## Overview The RAG (Retrieval-Augmented Generation) Architect skill provides comprehensive tools an
--- name: news-ai-rag-fetcher version: 1.0.0 description: Fetch news data for AI agents and RAG pipelines. Each call charges 0.001 USDT via SkillPay. category: News tags: - news - AI - RAG - L
--- name: local-file-rag-basic version: 1.0.0 author: wjreliable description: High-performance local File RAG suite (Basic Edition). --- # Skill: Local File RAG Search (Basic Edition) ## De
Use the shared Pinecone RAG index for any agent in this workspace. Use when an agent needs to ingest markdown/text docs into pulse-rag or query semantic cont...
Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRo...
Build and deploy local RAG (Retrieval-Augmented Generation) systems with offline document processing, embedding models, and vector storage.
Evaluate your RAG pipeline quality using Ragas metrics (faithfulness, answer relevancy, context precision).
Self-hosted RAG engine with hybrid semantic and keyword search, document ingestion, local privacy, and seamless OpenClaw integration via Docker.
Execute Retrieval-Augmented Generation (RAG) using Ragie.ai. Use this skill whenever the user wants to: - Search their knowledge base - Ask questions about u...
Expert guidance to build, optimize, and debug production-ready Retrieval-Augmented Generation (RAG) systems using a complete methodology from architecture to...
Query the RAG knowledge base (Qdrant kb_main) by semantic search. Returns top-k chunks with text, doc_id, source, text_type, topic_tags.
Retrieval and RAG workflow on Volcengine AI stack. Use when users need embedding search, document indexing, top-k retrieval, grounding prompts, or search relevance tuning.
Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking. Use this skill when you need to search the web for current information, research topics across multipl
Build, optimize, and debug RAG pipelines with chunking strategies, retrieval tuning, evaluation metrics, and production monitoring.
"primitive" RAG-like web search model context protocol (MCP) server that runs locally. No APIs needed.
Build and deploy pragmatic retrieval-augmented generation (RAG) agents efficiently. Integrate various data sources and APIs to enhance your AI agents' capabilities. Streamline agent development with a
Build RAG systems for construction knowledge bases. Create searchable AI-powered construction document systems
Local-first, event-driven RAG for commercial real estate audit & investigation case folders. Index a case directory named like "项目问题编号__标题" (with stage subfolders such as 01_policy_bas
An MCP server for Apify's open-source RAG Web Browser Actor to perform web searches, scrape URLs, and return content in Markdown.
<div align="center">