Qdrant RAG
Provides a local-first TypeScript server for Qdrant, enabling multi-client isolation, LM Studio integration, and scalable document workflows for RAG systems.
About
An ultimate evolution in Retrieval-Augmented Generation (RAG) systems, this production-ready, multi-tenant server combines best practices from leading RAG architectures to deliver a robust solution. It offers complete client isolation, advanced document processing, and seamless integration with LM Studio for fully local, privacy-centric operations. Designed for scalability and performance, it efficiently manages complex document workflows and semantic search across multiple projects or clients.
Key Features
- Local LM Studio Integration for embeddings and summaries
- Multi-Client Isolation with separate Qdrant collections
- Enterprise-grade Semantic Search capabilities
- Zero Cloud Dependency for maximum privacy
- Advanced Document Processing with SHA256 deduplication
- 0 GitHub stars
Use Cases
- Managing isolated document knowledge bases for multiple projects
- Building multi-tenant RAG systems for agencies or consultants
- Enhancing local LLM applications with advanced retrieval capabilities