5 comments

  • barishnamazov 16 minutes ago

    I like that this relies on generating SQL rather than just being a black-box chat bot. It feels like the right way to use LLMs for research: as a translator from natural language to a rigid query language, rather than as the database itself. Very cool project!

    Hopefully your API doesn't get exploited and you are doing timeouts/sandboxing -- it'd be easy to do a massive join on this.

    I also have a question mostly stemming from me being not knowledgeable in the area -- have you noticed any semantic bleeding when research is done between your datasets? e.g., "optimization" probably means different things under ArXiv, LessWrong, and HN. Wondering if vector searches account for this given a more specific question.

  • 7777777phil 17 minutes ago

    Really useful currently working on a autonomous academic research system [1] and thinking about integrating this. Currently using custom prompt + Edison Scientific API. Any plans of making this open source?

    [1] https://github.com/giatenica/gia-agentic-short

  • nineteen999 14 minutes ago

    That's just not a good use of my Claude plan. If you can make it so a self-hosted Lllama or Qwen 7B can query it, then that's something.

  • mentalgear 14 minutes ago

    Nice, but would you consider open-sourcing it? I (and I assume others) are not keen on sharing my API keys with a 3rd party.

  • bugglebeetle 23 minutes ago

    Seems very cool, but IMO you’d be better off doing an open source version and then hosted SAAS.