QDrant Loader QDrant Loader

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources

Multi-Project Support MCP Server File Conversion Semantic Search Enterprise Ready
QDrant Loader Core

Comprehensive data ingestion toolkit supporting Git, Confluence, JIRA, and local files with intelligent file conversion.

View Documentation
MCP Server

Model Context Protocol server providing RAG capabilities for Cursor IDE and other AI development tools.

View Documentation
Multi-Project Support

Manage multiple projects with a single configuration, one QDrant server, and unified search capabilities.

View Configuration
File Conversion

Automatic conversion of 20+ file formats including PDF, Office documents, images, and audio files.

View Guide
Test Coverage

Comprehensive test coverage reports for both packages with detailed analysis.

View Coverage Reports
Quick Start

Get started with QDrant Loader in minutes with our comprehensive installation and setup guide.

Get Started

Key Features

Everything you need for enterprise-grade vector database management

Multiple Data Sources

Git, Confluence, JIRA, Local Files, Public Docs

File Conversion

PDF, Office, Images, Audio, Archives

Multi-Project

Single config, multiple projects

Semantic Search

AI-powered document retrieval

MCP Integration

Cursor IDE and AI tools

Enterprise Ready

Scalable, secure, monitored

Quick Installation

Get started in seconds with pip

Core Package
pip install qdrant-loader
MCP Server
pip install qdrant-loader-mcp-server

Join the Community

Help us build the future of vector database tooling

Contribute to QDrant Loader

Join our community of developers! Whether you're fixing bugs, adding features, or improving documentation, every contribution makes a difference.

Code Documentation Bug Reports Ideas
Start Contributing