LangGraph · Data Alchemy

LangGraph

Hello everyone!

I decided that I would like to do a project using LangGraph.

For those who are unfamiliar with LangGraph:

LangGraph is a library that builds on top of LangChain to simplify and automate the process of creating advanced language model-based workflows, particularly for Retrieval-Augmented Generation (RAG) tasks. It is good at managing complex workflows by leveraging graph-based structures for modular, reusable components.

(https://langchain-ai.github.io/langgraph/tutorials/introduction/)

Some examples of worflows are shown in the images below. Basically we can have a list of tools, agents that would do different things...

Do you have any ideas of applications that I can create other than the basic/generic ones as the "costumer support" ones or maybe having the worflows shown below to come up with other ideas.

I really don't know what approach I can take and if some of you have any ideas from where I can start it would be awesome.

Thank you!😄

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