New: LangChain templates – fastest way to build a production-ready LLM app

• langchain

  31 83,220 10.0 Python

  🦜🔗 Build context-aware reasoning applications

  

> it's all based on old GPT-2/3 models

Are you sure?

There are examples of using mistral eg. https://github.com/langchain-ai/langchain/blob/master/templa...

This is exactly what I’m talking about. How can you say that when there is evidence that blatently contradicts it?

• guidance

  23 17,246 9.8 Jupyter Notebook

  A guidance language for controlling large language models.

  

AutoGen (https://github.com/microsoft/autogen) is orthogonal: it's designed for agents to converse with each other.

The original comparison to LangChain from Microsoft was Guidance (https://github.com/guidance-ai/guidance) which appears to have shifted development a bit. I haven't had much experience with it but from the examples it still seems like needless overhead.

• InfluxDB

  www.influxdata.com sponsored

  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.

  

• autogen

  31 24,917 9.9 Jupyter Notebook

  A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

  

AutoGen (https://github.com/microsoft/autogen) is orthogonal: it's designed for agents to converse with each other.

The original comparison to LangChain from Microsoft was Guidance (https://github.com/guidance-ai/guidance) which appears to have shifted development a bit. I haven't had much experience with it but from the examples it still seems like needless overhead.

• semantic-kernel

  47 18,111 9.9 C#

  Integrate cutting-edge LLM technology quickly and easily into your apps

  

I haven't tried it but there's Microsoft semantic-kernel.

https://github.com/microsoft/semantic-kernel

Suggest a related project