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by CyprianFusi • Uncategorized
An MCP server for intelligent research data management using vector embeddings and semantic search.
Semantically search and retrieve research documents using natural language queries.
Save and organize research content into topic-based vector databases with duplicate detection.
A RESTful MCP server interface to manage research data with OpenAI embeddings.
This MCP server enables saving, organizing, and retrieving research content through semantic search powered by OpenAI embeddings and ChromaDB vector database. It supports topic-based organization, duplicate detection, and exposes a RESTful API for integration. Deployed on AWS EC2, it facilitates efficient and scalable research data management for users.