Manages intelligent research data using vector embeddings and semantic search for saving, organizing, and retrieving content, deployed on AWS EC2.
Sponsored
The Research Assistant is a powerful server designed to revolutionize how you manage research data. Utilizing the Model Context Protocol (MCP), it provides advanced intelligent data management capabilities. Store your research content with semantic embeddings powered by ChromaDB and OpenAI's 'text-embedding-3-small' model, enabling natural language semantic search. Organize your findings into separate topic-based databases, benefit from automatic duplicate detection, and interact with your data via a RESTful API. This server simplifies the process of saving, organizing, and retrieving valuable research content, making your knowledge base highly searchable and efficient.
主要功能
01Vector-Based Storage with ChromaDB
02Automatic Duplicate Detection using content hashing
03Semantic Search using natural language queries
040 GitHub stars
05Topic Organization into separate databases
06RESTful API via FastMCP's streamable-http transport
使用案例
01Storing and organizing research papers, notes, or articles into topic-specific databases
02Retrieving specific research data through natural language semantic queries
03Managing and deleting research topics and their associated data