cancel
Showing results for 
Search instead for 
Did you mean: 
Generative AI
Explore discussions on generative artificial intelligence techniques and applications within the Databricks Community. Share ideas, challenges, and breakthroughs in this cutting-edge field.
cancel
Showing results for 
Search instead for 
Did you mean: 

Retrieved Docs in Message History

gwfj
New Contributor

Hi,

I've deployed a Langchain model via MLFlow log model and a deployment agent (following this https://notebooks.databricks.com/demos/llm-rag-chatbot/index.html#)

How do I add additional content to the message history for example, I'd like to add retrieved docs to the chat_history so that the LLM is aware of past retrievals. 

I've had a look at Langchain's doc on adding chat history (https://python.langchain.com/v0.2/docs/how_to/qa_chat_history_how_to/) but I am not too sure whether this will work with MLFlow. 

Do you have any tips/documentation I can refer to? Any assistance is appreciated. Thanks!

Gary

1 REPLY 1

davidhuang
Databricks Employee
Databricks Employee

In the notebook `02-Advanced-Chatbot-Chain`, from the RAG demo notebooks, shows how to incorporate chat history.

dh

Connect with Databricks Users in Your Area

Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you won’t want to miss the chance to attend and share knowledge.

If there isn’t a group near you, start one and help create a community that brings people together.

Request a New Group