Re-implementing LangChain in 100 lines of code

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NLP ActiveRecord question-answering langchain Bert

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  • haystack

    :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

  • hn-search

    Hacker News Search

    • Related comments about ReAct: https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...

  • 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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  • boxcars

    Building applications with composability using Boxcars with LLM's. Inspired by LangChain.

    • We ported the core of LangChain to Ruby, and while it is way more that 100 lines, I would give similar feedback as the author. Here is the repo if anyone is interested https://github.com/BoxcarsAI/boxcars

  • aipl

    Array-Inspired Pipeline Language

    • I also was underwhelmed by langchain, and started implementing my own "AIPL" (Array-Inspired Pipeline Language) which turns these "chains" into straightforward, linear scripts. It's very early days but already it feels like the right direction for experimenting with this stuff. (I'm looking for collaborators if anyone is interested!)

    https://github.com/saulpw/aipl

  • gpti

    A simple REPL for interacting with OpenAI's GPT models

    • Hmm, this is great food for thought! I am working on a Haskell based REPL for GPT, called GPTi[1] which might benefit from this approach.

    [1] https://github.com/mlang/gpti

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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