Query a RAGflow knowledge base using natural language. Filter results by dataset IDs for targeted information retrieval.
MIT
682,775 tools. Updated 2026-10-21 00:24
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- List all datasets in RAGFlow to see which knowledge bases are accessible for document retrieval and semantic search.-
- Retrieve all available datasets from RAGFlow to manage knowledge base collections for AI-driven information retrieval and chat sessions.-
- Retrieve all datasets available in your RAGFlow instance for browsing and management.-
- Retrieve relevant text chunks from a RAGFlow dataset using a dataset ID and query question.-
- List all RAGFlow datasets with their IDs and names, optionally filtering by dataset ID or name.-
- Create a RAGFlow chat assistant and session for a given dataset, enabling query-based interactions with the data.-
- Retrieves relevant content from specified RAGFlow datasets to answer user questions, enabling AI-driven information extraction from knowledge bases.-
- Ask questions within an existing RAGFlow chat session to retrieve context-aware answers from your datasets.-
- Retrieve detailed information about an Apify Actor by ID or full name to inspect documentation, input requirements, pricing, stats, and MCP tools.MIT
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- Parallel health check across all wired integrations. Returns ok status and service-specific metadata for Langfuse, RAGflow, Shuffle, Tactical RMM, MeshCentral, and Probo compliance.MIT
- Check the health of your RAGflow platform by retrieving its status and dataset count.MIT
- Learn how to use AiChat tools effectively with a complete guide covering parameters, examples, and best practices.MIT
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