{"repo":"cbtw-apac/qdrant-loader","free":true,"listed":false,"github":"https://github.com/cbtw-apac/qdrant-loader","clone":"git clone https://github.com/cbtw-apac/qdrant-loader.git","description":"Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.","language":"Python","stars":50,"topics":["cli-tool","cursor-ide","developer-tools","document-processing","embbedings","enterprise-ready","file-conversion","git-integration","jira-integration","knowledge-base"],"license":"Apache-2.0","category":"productivity","readme_excerpt":"QDrant Loader 📝 Changelog v1.0.4 - Latest improvements and bug fixes A comprehensive toolkit for loading data into Qdrant vector database with advanced MCP server support for AI-powered development workflows. 🎯 What is QDrant Loader? QDrant Loader is a data ingestion and retrieval system that collects content from multiple sources, processes and vectorizes it, then provides intelligent search capabilities through a Model Context Protocol (MCP) server for AI development tools. Perfect for: - 🤖 AI-powered development with Cursor, Windsurf, and other MCP-compatible tools - 📚 Knowledge base creation from technical documentation - 🔍 Intelligent code assistance with contextual information - 🏢 Enterprise content integration from multiple data sources 📦 Packages This monorepo contains three complementary packages: 🔄 QDrant Loader Data ingestion and processing engine Collects and vectorizes content from multiple sources into QDrant vector database. Key Features: - Multi-source connectors : Git, Confluence (Cloud & Data Center), JIRA (Cloud & Data Center), Public Docs, Local Files - File conversion : PDF, Office docs (Word, Excel, PowerPoint), images, audio, EPUB, ZIP, and more using MarkItDown - Smart chunking : Modular chunking strategies with intelligent document processing and hierarchical context - Incremental updates : Change detection and efficient synchronization - Multi-project support : Organize sources into projects with shared collections - Provider-agnostic LLM : O","default_branch":null,"files":null,"tree":[],"storefront":"/r/cbtw-apac","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/cbtw-apac/qdrant-loader/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}