My goal is to insert the language placeholder into the invoke method but currently the response is always in english. I follow this tutorial -> https://python.langchain.com/v0.2/docs/tutorials/chatbot/

main.py

I have a prompt which consists of some fixed text parts and other varient text parts. I am using langchain 0.2 I would like to build up ChatPromptTemplate from multiple parts, and then use it in a chain to get answer from llm. I have the following 3 parts:

I trying to use make custom chain by function with RunnableLambda. I faced problem when “I trying to assign function that returns dictionary” with RunnablePassThrough or RunnableAssign.

I am new to Langchain and essentially what I want to do is use a ‘Bring Your Own Knowledge’ agent which gets a dataframe, and use the LLM as is. However, I noticed that when I ask the agent generic questions, it won’t know the answer because it’s not in the dataframe… I would like to know how I could use both – something ‘multi-agent’ I guess.

I am new to Langchain and essentially what I want to do is use a ‘Bring Your Own Knowledge’ agent which gets a dataframe, and use the LLM as is. However, I noticed that when I ask the agent generic questions, it won’t know the answer because it’s not in the dataframe… I would like to know how I could use both – something ‘multi-agent’ I guess.

I’m attempting to build a context-aware chatbot using RunnableWithMessageHistory backed by InMemoryChatMessageHistory. The retriever utilizes Chroma db to provide context queries to the llm. However, I’m encountering an error and require assistance in resolving it.

I’m trying to set up a PydanticOutPutParser instance at the end of a RAG LCEL chain, but am receiving the error

I have a simple example about langchain runnables. From https://python.langchain.com/v0.1/docs/expression_language/interface/

I am coding a backend server in python using lancgain and I need to attach a callback to track each time the chain has been run using track_feedback(). I am using the “callbacks” argument on the with_config() in the self.runnable. But it is getting triggered many times per runnable execution. Could the children chains be somehow inheriting the call?