How to Fix Hermes Agent's Learning Loop with Milvus 2.6 Hybrid Search

This post details the integration of Milvus 2.6's hybrid search and tiered storage features with the Hermes AI agent. It explains how hybrid search (combining vector and BM25 full-text search with RRF) addresses the limitations of keyword-only retrieval in Hermes's learning loop, enabling it to connect semantically similar information across sessions. It also highlights how Milvus 2.6's tiered storage allows the retrieval backend to fit on a low-cost VPS, making it practical for personal AI agents. The post provides installation instructions and code examples for setting up Milvus 2.6 standalone and configuring a collection for hybrid search, along with a Python script for performing hybrid searches.