
3/13/2026 · Cheney Zhang
What this post added
This post demonstrates the use of Milvus Lite for building a personal stock monitoring agent. It details the creation of three distinct collections ('decisions', 'preferences', 'patterns') within Milvus to store different types of personal investment data. The post also outlines the implementation of a memory extraction mechanism that uses an LLM to identify and store relevant insights from conversations into the appropriate Milvus collections, including a deduplication step to avoid redundant entries. This showcases Milvus's capability in personal knowledge management and decision support systems.