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Cover image for LangGraph + Gemini Pro + Custom Tool + Streamlit = Multi-Agent Application Development
Gao Dalie (高達烈)
Gao Dalie (高達烈)

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LangGraph + Gemini Pro + Custom Tool + Streamlit = Multi-Agent Application Development

In this post, you are going to learn how we can create this chatbot in LangGraph, Gemini Pro or any model you like, Custom Function and Streamlit that can respond to user’s support requests

LangGraph is a library for building stateful “ multi-actor applications “ with LLM. LangChain Expression Language can be extended to allow multiple chains (or actors) to work together cyclically over multiple steps.
One of the great values ​​of “LangChain” is that you can easily create custom chains.

We have provided LangChain Expression Language as a function for this purpose, but there was no easy way to introduce the cycle. LangGraph makes it easy to introduce cycles into LLM applications.

LangChain Expression Language is not suitable for describing cycles (loops), but by using LangGraph, it becomes possible to describe and introduce the cycles necessary for the agent.

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