What's the difference between LangChain, llama indexand others like autollm?

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

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  • swiss_army_llama

    A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.

  • I found all of them to be quite bloated and annoying to use directly, which is why I made my own FastAPI based one, Swiss Army Llama. I’m obviously biased, but I far prefer it:

    https://github.com/Dicklesworthstone/swiss_army_llama

  • txtai

    💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

  • Adding txtai to the list for consideration. Couple relevant links.

    1. https://neuml.hashnode.dev/custom-api-endpoints

    2. https://github.com/neuml/txtai

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • rocketrosti

    Chatbot, LLM companion and data retrieval framework

  • Love the name! To add to it, we created rocket-röschti (rocketrösti for anyone not familiar with Swiss German) for very similar reasons. Also, back when we started there was not a lot to work with.

    But obviously now, it is also a good idea looking at AutoGen.

    https://github.com/rocket-science-ch/rocketrosti

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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