Introduction to MemGPT and Its Integration with Milvus
Blog post from Zilliz
During a meetup in May, Charles Packer discussed how MemoryGPT (MemGPT) aims to solve the problem of limited memory in large language models (LLMs). MemGPT introduces a virtually extended context window inspired by computer system design. It divides the LLM context into two parts: main context and external context. The main context has a limited bandwidth, while the external context is stored on persistent storage with an infinite window. MemGPT efficiently manages information flow between the two contexts, allowing for long-context memory applications like personal assistant chatbots.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| LLM | 24 | 3,068 | 375 | 151 | +1% |
| RAG | 5 | 1,199 | 188 | 71 | +34% |
| Vector Search | 5 | 1,781 | 230 | 86 | +34% |
| AI Agents | 2 | 164 | 67 | 37 | -49% |
| Kubernetes | 1 | 1,311 | 183 | 76 | -13% |
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