
Simple File Vector Store
An MCP server that provides file semantic search functionality, enabling intelligent retrieval of document contents through vector embedding
TypeScript
3.4K
2.5 points

Ai
This project builds an AI system based on Nasdanika capabilities, focusing on operating on resource collections (interconnected models). It describes model elements and their relationships from multiple angles through the 'narrator' processor, and uses embeddings and vector storage to implement semantic search and RAG (Retrieval - Augmented Generation). It also supports the chat completion functions of OpenAI and Ollama.
Java
3.3K
2 points

Postg Mem
PostgMem is a .NET - based MCP service that uses PostgreSQL and the pgvector extension to provide vector memory storage and retrieval functions for AI applications, supporting semantic search and tag filtering.
C#
3.5K
2 points

Aleph 10
Aleph-10 is an MCP server that combines weather data services and vector memory storage, providing weather information query and semantic-based vector memory management functions, supporting multiple embedding options and metadata filtering.
TypeScript
3.4K
2 points
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