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
