High-precision memory with 100% recall accuracy for long contexts.
Provides answers by retrieving and synthesizing information from local text or markdown files using a retrieval-augmented generation approach.
Semantic knowledge base allowing ingest, search, and retrieval of saved texts, URLs, and files using embeddings and SQLite.
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LL...
Semantic search and Q&A over workspace files using Telnyx Storage + AI embeddings. Index your memory, knowledge, and skills for natural language retrieval and AI-powered answers.
RAGFlow知识库问答与操作指导。调用RAGFlow知识库API进行智能问答，并基于知识库返回结果提供agent操作建议。支持流式输出，耐心等待完整响应生成。当
高级 RAG 助手，具备 Agentic RAG 思考能力。能够自动化管理 RAGTOP 知识库，并在执行深度调研任务时，调用 RAGTOP 后端接口。使用场景包括：(1) 列出知识库
AI/ML engineering specialist for building intelligent features, RAG systems, LLM integrations, data pipelines, vector search, and AI-powered applications. Us...
Complete Open WebUI API integration for managing LLM models, chat completions, Ollama proxy operations, file uploads, knowledge bases (RAG), image generation, audio processing, and pipelines. Use this
Pre-ingestion verification for epistemic quality in RAG systems. Ensures documents are properly qualified before entering knowledge bases. Produces CGD (Clar...
Validate and troubleshoot the hybrid database system used by OpenClaw agents (Pulse task DB + RAG Pinecone stack). Use when asked to check setup, connection...
Ecosystem differentiation audit pack. MCP firewall, RAG pipeline, sandbox exec, context health, provenance tracking, cost analytics, and token budget optimiz...
Universal client for Ragflow API enabling dataset management, document upload, and running chat queries against self-hosted RAG knowledge bases.
Local-first RAG cache: distill docs into structured Markdown, then index/query with Chroma + hybrid search (vector + keyword).
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...
Complete Telnyx toolkit — ready-to-use tools (STT, TTS, RAG, Networking, 10DLC) plus SDK documentation for JavaScript, Python, Go, Java, and Ruby.
\--- 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
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
--- 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
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