Qdrant Hybrid

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This tool delivers the ultimate evolution of Retrieval-Augmented Generation (RAG) systems by combining architectural best practices and performance optimizations from `lance-mcp`, `sqlite-vss-mcp`, and `delorenj/mcp-qdrant-memory`. The result is a production-ready, multi-tenant RAG system that provides complete client isolation, advanced document seeding, and seamless integration with LM Studio for fully local LLM operations, ensuring maximum privacy and enterprise-grade document processing capabilities.

Características Principales

• Enterprise-grade semantic and granular search capabilities across clients and documents
• Multi-client architecture with complete data isolation and separate collections
• Seamless LM Studio integration for local BGE-M3 embeddings and Qwen3 summaries
• Advanced document processing with SHA256 deduplication and multi-format support (PDF, MD, TXT, DOCX)
• Local-first design ensuring maximum privacy and zero cloud dependency
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Casos de Uso

• Building enterprise-grade semantic search capabilities for diverse document formats
• Managing RAG systems for multiple clients or projects with complete data isolation
• Deploying a privacy-focused RAG system for sensitive, local documents