VecMed
Establishes and manages a Milvus vector database, including data ingestion, search functionalities, and integration into AI workflows.
소개
VecMed provides a comprehensive workflow and scripts for setting up and maintaining a Milvus vector database. It facilitates database schema definition, automated data ingestion (with a focus on medical articles from PubMed as an example), and robust search functionalities. The tool supports timely data updates, integration with MCP servers for HTTP API access, and offers an experimental LLM-based search result summarization feature. Users can leverage this framework to build and manage custom vector databases, monitor data via the Attu WebUI, and seamlessly integrate the database into larger AI or LLM-driven workflows.
주요 기능
- Vector database search functionality
- Attu WebUI integration for database management
- Automated data ingestion and timely updates
- Experimental LLM-based search result summarization
- Milvus database initialization and schema definition
- 1 GitHub stars
사용 사례
- Establishing and managing a custom Milvus vector database for specific datasets.
- Creating and maintaining a searchable database of medical articles (e.g., PubMed rare disease data).
- Integrating a vector database as a knowledge source into AI agents or LLM-driven workflows.
