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CLI interface tools

  • Local RAG Researcher Deepseek

    Local RAG Researcher Deepseek uses Deepseek indexing and local LLMs to perform retrieval-augmented question answering on user documents.
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    What is Local RAG Researcher Deepseek?
    Local RAG Researcher Deepseek combines Deepseek’s powerful file crawling and indexing capabilities with vector-based semantic search and local LLM inference to create a standalone retrieval-augmented generation (RAG) agent. Users configure a directory to index various document formats—including PDF, Markdown, text, and more—while custom embedding models integrate via FAISS or other vector stores. Queries are processed through local open-source models (e.g., GPT4All, Llama) or remote APIs, returning concise answers or summaries based on the indexed content. With an intuitive CLI interface, customizable prompt templates, and support for incremental updates, the tool ensures data privacy and offline accessibility for researchers, developers, and knowledge workers.
    Local RAG Researcher Deepseek Core Features
    • Deepseek file crawling and indexing
    • Vector-based semantic search with FAISS support
    • Local and remote LLM integration (e.g., GPT4All, Llama)
    • Retrieval-augmented question answering
    • Document summarization
    • CLI and Python API interfaces
    • Configurable embedding and prompt templates
    • Incremental indexing and updates
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