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101,343 tools. Last updated 2026-04-07 06:28
  • Ask questions about memory files using retrieval-augmented generation to get answers from stored content with configurable search modes.
    MIT
  • Search uploaded documents using RAG to find answers with citations. Ask questions to retrieve information from your knowledge base.
    MIT
  • Upload files to process and index them for searchable knowledge retrieval using RAG (Retrieval-Augmented Generation) technology.
    MIT
  • Delete files from the RAG system to manage storage and maintain relevant content for retrieval-augmented generation tasks.
    MIT
  • Send chat messages to AI models with optional RAG capabilities for retrieving information from documents. Configure parameters like temperature and system prompts to customize responses.

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    Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.
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