jkanalakis/deep-recall
Enterprise-grade memory framework for LLMs featuring GPU-optimized inference, vector storage, and automated scaling. Enables hyper-personalized responses through efficient context retrieval and integration.
This project helps businesses and individuals enhance their open-source AI chatbots by giving them a personalized memory of past conversations with each user. It takes in chat history and user interactions, then allows the LLM to output highly relevant and personalized responses. Customer support teams, sales organizations, and educational platforms that use LLMs would benefit from this.
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Use this if you need your open-source Large Language Models (LLMs) to remember and use individual user histories to provide more personalized and relevant responses.
Not ideal if you are looking for a pre-built, turn-key chatbot solution rather than a framework to enhance an existing LLM.
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90
Forks
12
Language
Python
License
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Category
Last pushed
May 03, 2025
Commits (30d)
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