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Tag: RAG

  • Bridging the Gap: RAG, OpenAI API, Anthropic MCP, and Ollama LLMs

    Bridging the Gap: RAG, OpenAI API, Anthropic MCP, and Ollama LLMs

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    by

    gekko
    in ,

    Retrieval-Augmented Generation (RAG) has quickly evolved into one of the most promising methods to enhance the accuracy, reliability, and usefulness of large language models (LLMs). With advancements like OpenAI’s File Search Tool and Anthropic’s Model Context Protocol (MCP), RAG has seen further enhancements, offering practical and robust methods for delivering contextually accurate, up-to-date responses. However,…