martin-papy/qdrant-loader
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.
Based on the README, here's a technical summary that goes deeper: --- Built as a modular monorepo with three complementary packages (core library, data ingestion engine, and MCP server), it uses provider-agnostic LLM abstraction to support OpenAI, Azure OpenAI, Ollama, and custom endpoints with unified configuration. The MCP server implements the latest protocol (2025-06-18) with dual transport support (stdio + HTTP SSE) and provides advanced search tools including hierarchy-aware semantic search, cross-document similarity analysis, and knowledge graph capabilities beyond basic retrieval.
31 stars and 1,431 monthly downloads. Available on PyPI.
Stars
31
Forks
20
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 11, 2026
Monthly downloads
1,431
Commits (30d)
0
Dependencies
41
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