I've watched pretty much all tutorial videos from langchain and it was really really helpful. BUT THIS, it is probably the best tutorial I have seen! Thanks Will!
just thinking out load - I am wondering if this could be implemented to the chat langchain interface - so when user ask question it will go through this reflection plus episodic retrieval. currently the chat langchain has pretty low accuracy and often hallucinate. this would be really helpful to the end user who want to get into and develop with langchain
awesome video I've been learning a lot and how to use langgraph with my projects not just form LLMs, loved the idea of breaking down each component of the paper and the implementation hope you keep doing!
great video Wil. Thanks for touching on langgraph.checkpoint and persistence. Valuable functionality for production use cases. Also see the ability to capture the defined StateGraph as an image as helpful for verifying the defined Graph.
I've watched pretty much all tutorial videos from langchain and it was really really helpful. BUT THIS, it is probably the best tutorial I have seen! Thanks Will!
just thinking out load - I am wondering if this could be implemented to the chat langchain interface - so when user ask question it will go through this reflection plus episodic retrieval. currently the chat langchain has pretty low accuracy and often hallucinate. this would be really helpful to the end user who want to get into and develop with langchain
awesome video I've been learning a lot and how to use langgraph with my projects not just form LLMs, loved the idea of breaking down each component of the paper and the implementation hope you keep doing!
great video Wil. Thanks for touching on langgraph.checkpoint and persistence. Valuable functionality for production use cases. Also see the ability to capture the defined StateGraph as an image as helpful for verifying the defined Graph.
really cool demo, thanks so much,. im not a developer by profession, but its so much fun to experiment around with Langchain products (Y)
In our world, adding part 3 human in the loop also helps us to gain confidence from user on the quality of the response.
Will is the man!
That’s great! It’s amazing the possibilities it brings to us. I would like to play around whit this
how to add memory in rag pipeline using gemini model to make follow up question.
wow, It's fun
🎉🎉
499 viewers when I watched