is it meaningful to add Conversational Buffer memory to Q&A application

[IamExperimenting]

Hi Team,

I'm using Dollyv2 LLM for Q&A application, and using Langchain.

Here, my input data are from pdf files, I have around 50 pdf files and each files are different from each other.

Here, my question is, is it meaningful to add conversational buffer memory to this application (Q&A)? because when I logically think, LLM expects Prompt + Question + relevant chunks. so every time if I ask question to the model it sends different question with different context and those context are different from each other.

when I ask question to them model for first time, it takes/remember the question, context, answer and this question and context belongs to 1st pdf document. And all of a sudden if I ask a question about 25th pdf document which is completely different the 1st pdf document, here does the conversation buffer memory helps?

[IamExperimenting]

@dosu-bot

[devstein]

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