Please provide a complete example of combining langgraph4j with langchain4j. Thank you

[smileyboy2019]

According to the document description, it is not possible to create an example. I hope to learn through a complete example. Thank you

[bsorrentino]

Hi @smileyboy2019 thanks for interest

However Agent Executor and Adaptive RAG are already available as such example.

Let me know if this is what you were looking for

[smileyboy2019]

Can you submit the complete demo to langchain4j? For example, the following address is for writing RAG code
https://github.com/langchain4j/langchain4j-examples/blob/main/rag-examples/src/main/java/_4_low_level/_01_Low_Level_Naive_RAG_Example.java

[bsorrentino]

@smileyboy2019 just a consideration about suggested example:

it is a simple sequence of steps without cycle and branch (where langgraph4j comes to play), so a chain is perfect fit to purpose.

what do you think about ?

[baijuexzz]

I don't think langGraph has much to do with langChain
langGraph is more of an orchestration job
Langchain is a development tool that simplifies large language models
Some components of langChain can serve as nodes of langGraph
The Node of langGraph may not be langChian

[bsorrentino]

Hi @baijuexzz

Your summary is essentially correct but not complete, Langgraph is an orchestration tool thought for implementing Agentic Architectures, both simple and complex

Overview

It is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. Compared to other LLM frameworks, it offers these core benefits: cycles, controllability, and persistence.