JSPM

MCP server to search qdrant database

MCP server for hybrid search using Meilisearch and Qdrant

Web Application powered by Go and Qdrant to search through 2500+ common German words and sentences.

Javascript API for qdrant

One-command installer to set up and run Toq via Docker Compose

A powerful memory stack for AI applications with vector embeddings

A Model Context Protocol server for fetching and storing documentation in a vector database, enabling semantic search and retrieval to augment LLM capabilities with relevant documentation context.

Hukuki kararlar için özel Qdrant tabanlı MCP sunucusu

One-command installer to set up and run Torqbit via Docker Compose

A Model Context Protocol server for fetching and storing documentation in a vector database, enabling semantic search and retrieval to augment LLM capabilities with relevant documentation context.

A NodeJS RAG framework to easily work with LLMs and custom datasets

一个MCP服务器实现，提供通过向量搜索检索和处理文档的工具，使得AI助手可以在其响应中增加相关文档内容。

A powerful and flexible Retrieval-Augmented Generation (RAG) library for Node.js and TypeScript

MCP server for codebase indexing with Voyage AI embeddings and Qdrant vector storage

A RAG-based document question answering system

Semantic caching SDK for LLM cost reduction using Qdrant

AI-powered MCP server for codebase navigation and LLM prompt optimization

MCP server for enhanced Qdrant vector database functionality