[Question]: Is it possible integrate langchain ConversationBufferMemory ?

[sura2k]

Question Validation

• [X] I have searched both the documentation and discord for an answer.

Question

Is it possible to integrate langchain ConversationBufferMemory with llama-index chat engine? I'm checking on this because current llama-index ChatMemoryBuffer is not sufficient.

[dosubot[bot]]

Integrating langchain ConversationBufferMemory with the llama-index chat engine is indeed feasible. This process involves creating an adapter or bridge that allows llama-index to leverage langchain's ConversationBufferMemory for enhanced memory management. Specifically, you would need to either extend the BaseMemory class or develop a new class that adheres to the BaseMemory interface expected by llama-index, but internally utilizes langchain's memory management features.

To start, examine the BaseMemory class in llama-index for an understanding of the required interface and then look into how ConversationBufferMemory operates within langchain. This approach will enable you to incorporate langchain's advanced memory management capabilities into llama-index, potentially overcoming limitations you've encountered with the current ChatMemoryBuffer.

If you're addressing specific limitations of the ChatMemoryBuffer, such as token limit constraints, message role handling, or serialization issues, a tailored solution focusing on those aspects would be more effective. Understanding the exact features or capabilities you need will help in providing a more precise integration strategy.

For a successful integration, closely follow the implementation patterns and interface requirements outlined in llama-index's memory management system, adapting langchain's ConversationBufferMemory functionalities within that framework.

Sources

• How can I use Conversational memory with llama-index?
• Is llamaindex supports conversationBufferMemory?
• Support to add conversation history in the prompt
• llama-index-core/llama_index/core/memory/init.py
• llama-index-core/tests/memory/test_chat_memory_buffer.py
• llama-index-core/llama_index/core/memory/chat_memory_buffer.py

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[logan-markewich]

@sura2k its not possible currently, but could maybe be possible.

I'm curious what ChatMemoryBuffer lacks that you need?

[sura2k]

@logan-markewich sorry for late reply. I'm actually having a requirement to use something similar to ConversationSummaryBufferMemory

[shadyelgewily-slimstock]

We would also like something along the lines of ConversationSummaryBufferMemory to be implemented in LlamaIndex. The reason is that for our use case, we want to keep latency and costs down for our end users. Using the full history up to the context length increases costs and latency for each follow-up question due to increased number of tokens. Limiting the memory to the last X messages works, but is suboptimal, because the older messages may still have relevance. We would like older messages < X to be summarized, then appended by the full text of the last X messages.

@logan-markewich I can contribute to this if you are okay with adding this into LlamaIndex

[logan-markewich]

Yea go for it