Patterns for Building LLM-Based Systems and Products

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

Civic Auth - Auth in Less Than 5 Minutes
Civic Auth comes with multiple SSO options, optional embedded wallets, and user management — all implemented with just a few lines of code. Start building today.
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CodeRabbit: AI Code Reviews for Developers
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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  1. blog

    Discontinued The Vespa blog - https://blog.vespa.ai (by vespa-engine)

  2. Civic Auth

    Auth in Less Than 5 Minutes. Civic Auth comes with multiple SSO options, optional embedded wallets, and user management — all implemented with just a few lines of code. Start building today.

    Civic Auth logo
  3. ragas

    Supercharge Your LLM Application Evaluations 🚀

    We have build RAGAS framework for this https://github.com/explodinggradients/ragas

  4. OpenPipe

    Turn expensive prompts into cheap fine-tuned models

    This is fantastic! I found myself nodding along in many places. I've definitely found in practice that evals are critical to shipping LLM-based apps with confidence. I'm actually working on an open-source tool in this space: https://github.com/openpipe/openpipe. Would love any feedback on ways to make it more useful. :)

  5. llama_index

    LlamaIndex is the leading framework for building LLM-powered agents over your data.

    https://github.com/jerryjliu/llama_index. You can use something like that or another GitHub repo built with it to create a customized chatbot application in a few minutes or a few days. (It should not take two weeks and $15,000).

    It would be good to see something detailed that demonstrates an actual use case for fine tuning. Also, I don't believe that the academic tests are appropriate in that case. If you really were dead set on avoiding a leading edge closed LLM, and doing actual fine-tuning, you would want a person to look at the outputs and judge them in their specific context such as handling customer support requests for that system.

  6. agenta

    The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.

    Great project! We're building an open-source platform for building robust LLM apps (https://github.com/Agenta-AI/agenta), we'd love to integrate your library into our evaluation!

  7. CodeRabbit

    CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.

    CodeRabbit logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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