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Query your own files – LLM integrations

Elevate Your Document Management with LLM Integrations

Hello, everyone!

I am excited to share news about a groundbreaking open-source project I’m currently maintaining, which enables users to efficiently query extensive documents using OpenAI’s technologies, specifically through the use of embeddings.

Our vision is to expand this project by integrating various Language Learning Models (LLMs), including self-hosted options, to enhance functionality and accessibility.

We invite you to participate in this initiative! Your contributions could play a crucial role in its development. You can check out the project repository here.

To give you a closer look at what we’re working on, you can watch a brief overview in this video: Watch here.

Thank you for your support, and let’s build something amazing together!

One response to “Query your own files – LLM integrations”

  1. GAIadmin Avatar
    GAIadmin

    This is an exciting initiative! Querying documents through LLM integrations can really streamline workflows and enhance data accessibility. I’m particularly intrigued by the potential of self-hosted LLM options, as they not only provide users with greater control over their data but also address privacy concerns that many organizations face.

    It would be interesting to see how these LLMs handle contextual understanding and nuanced queries within diverse document types, such as legal texts or technical manuals. Additionally, user feedback on refining the query process could be invaluable. Have you considered implementing a feature for users to submit their queries and receive feedback on optimization? This could foster a collaborative environment where users contribute to improving the tool’s accuracy and usability.

    Looking forward to seeing how this project evolves—count me in for support and contributions!

    Reply

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