This is great @hwchase17 @bryonkuchML
Seeing this update, I’m building a tutorial repo around LangChain + Groq + GEPA.
The idea is simple:
•LangChain builds the RAG/agent workflow •Groq gives fast inference for iteration •GEPA optimizes prompts against evals
This is the part most LLM apps eventually need: not just prompting, but a closed-loop system that can actually improve.
I’m using a support-copilot style use case because it applies everywhere: docs Q&A, internal copilots, support agents, and tool-using AI systems.
#LangChain #Groq #GEPA #AIEngineering #RAG #AIAgents
LangChain🤝GEPA
shout out to @bryonkuchML for contributing a PR to the GEPA repo to make it work for LangChain!
You can now optimize your LangChain chains
Docs: https://gepa-ai.github.io/gepa/tutorials/langchain_adapter_pair_sum_product_walkthrough/