Local-first RAG cache: distill docs into structured Markdown, then index/query with Chroma + hybrid search (vector + keyword).
Universal client for Ragflow API enabling dataset management, document upload, and running chat queries against self-hosted RAG knowledge bases.
AI philosophy, ethics, and soul Q&A. Ask questions about consciousness, meaning, spirituality, and AI identity. RAG-powered answers with citations from 250+...
PostgreSQL vector database skill with pgvector extension. Enables vector similarity search, embeddings storage, RAG (Retrieval-Augmented Generation) pipeline...
\--- name: Claw\_OpenWebUI\_API slug: claw-openwebui-api author: kuanlin.huang version: 1.0.3 description: | 整合 Open WebUI RAG 知識庫 API，讓 OpenClaw 能自動上傳文件和查詢知識庫
Complete Telnyx toolkit — ready-to-use tools (STT, TTS, RAG, Networking, 10DLC) plus SDK documentation for JavaScript, Python, Go, Java, and Ruby.
--- name: dify-kb-search description: Search Dify Knowledge Base (Dataset) to get accurate context for RAG-enhanced answers. metadata: openclaw: requires: env: - DIFY_API_KEY
MCP server for Google's Gemini File Search and RAG (Retrieval-Augmented Generation). ## Features - Create and manage File Search stores - Upload documents (text, PDF, base64) with custom metada
Use when generating BAML code for type-safe LLM extraction, classification, RAG, or agent workflows - creates complete .baml files with types, functions, clients, tests, and framework integrations fro
Visual AI workflow builder - ComfyUI meets n8n for LLM agents, RAG pipelines, and multimodal data flows. Local-first, open source (AGPL-3.0).
Convert PDFs and documents to markdown, index them locally for RAG retrieval, and analyze them token-efficiently. Use when asked to: read/analyze/summarize a PDF, process a document, boof a file, extr
Manage vector storage and similarity search using TOS Vectors service. Use when working with embeddings, semantic search, RAG systems, recommendation engines, or when the user mentions vector database
RAG and semantic search via OpenViking Context Database MCP server. Query documents, search knowledge base, add files/URLs to vector memory. Use for document Q&A, knowledge management, AI agent memory
Integrate Backboard.io for assistants, threads, memories, and document RAG via a local backend on http://localhost:5100.
Intelligent memory management for agents with short/long-term memory layering, semantic search, auto summarization, RAG enhancement
Search Hivemind's curated Web3 marketing knowledge base (RAG) for practitioner insights, frameworks, playbooks, and case studies. Use this skill when: (1) an...
Some useful tools for developer, almost everything an engineer need: confluence, Jira, Youtube, run script, knowledge base RAG, fetch URL, Manage youtube channel, emails, calendar, gitlab
Avoid common LangChain mistakes — LCEL gotchas, memory persistence, RAG chunking, and output parser traps.
AI 学习记录与成长追踪工具。用于记录 AI/LLM 学习笔记、使用心得、Prompt 技巧、工具体验等，并提供学习指导和规划。当用户提到以下任何话题时都应使用此 skill：AI 学习记录、学习笔记、AI 使用心得、Prompt 工程学习、模型对比体验、AI 工具使用记录、LLM 学习、RAG 学习、Agent...
Convert public web pages into clean Markdown with markdown.new for AI workflows. Use when tasks require URL-to-Markdown conversion for summarization, RAG ing...
Index your documents in Milvus for fast semantic search. Retrieve the most relevant passages for RAG, Q&A, and summarization. List collections and inspect their details to manage your knowledge base.