MemGPT
Build a Retrieval Augmented Generation (RAG) agent that enables an extended LLM context window using MemGPT and Milvus/Zilliz Cloud.
Use this integration for FreeWhat is MemGPT?
MemGPT is an open-source project designed to simplify the development and deployment of stateful large language model (LLM) agents. By utilizing a memory hierarchy and control flow similar to traditional operating systems, MemGPT automatically and intelligently manages different storage tiers, hence providing an extended context within the LLM’s limited context window.
With MemGPT, you can build agents with:
Long-term memory/state management
Connections to external data sources (RAG)
Defining and calling custom tools (aka. functions)
Benefits of Integrating MemGPT and Milvus/Zilliz?
While LLMs have significantly advanced artificial intelligence, they are limited by their context windows, affecting their performance in tasks such as extended conversations and document analysis. To address these limitations, MemGPT introduces a virtual context management technique that extends the context window.
Milvus and Zilliz Cloud (the managed Milvus) are high-performance vector database systems designed for billion-scale vector storage and similarity search. Integrating MemGPT with Milvus/Zilliz enables the creation of more capable and efficient AI agents that connect to external data sources, essentially building Retrieval Augmented Generation (RAG) agents with an extended context window.
The key advantages of this integration for building RAG agents include:
Extended Context Window: Surpass the limitations of LLMs' context windows, enabling more coherent and contextually aware interactions.
Reduced Token Consumption: Using Milvus or Zilliz Cloud vector database to manage agent memory significantly reduces token consumption compared to simply dumping the entire conversation history or knowledge base in the prompt. Even if the LLM's context window can handle an extended conversation history, this approach is more efficient and saves resources by orders of magnitude.
Enhanced Data Retrieval: Efficiently connect to and retrieve information from extensive external data sources.
Scalability: Manage and scale vector storage and similarity search operations for billion-scale datasets.
Improved Performance: Leverage the high performance of Milvus and Zilliz Cloud for real-time data retrieval and processing.
Overall, integrating MemGPT with Milvus/Zilliz enables developers to create AI agents capable of leveraging extensive information and efficiently handling complex tasks.
How the MemGPT and Milvus/Zilliz Integration Works
How MemGPT and Zilliz Cloud work together.png
How to Use MemGPT with Milvus/Zilliz Cloud
Milvus Documentation | MemGPT with Milvus Integration