A document based RAG application
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Updated
Mar 28, 2025 - Rust
A document based RAG application
Scalable Qdrant vector database cluster with Docker Compose, monitoring, and comprehensive documentation for high-performance similarity search applications.
Is a high-performance Augmented Recovery-Generation (RAG) solution based on Redis, Qdrant or PostgreSQL. It offers a high-level interface using FastAPI REST APIs
RAG-Ingest: A tool for converting PDFs to markdown and indexing them for enhanced Retrieval Augmented Generation (RAG) capabilities.
Local-first TypeScript MCP server for Qdrant with client isolation, LM Studio integration, and scalable document workflows.
A microservices-based RAG platform that supports multi-format document parsing, semantic search, and conversational AI, powered by Google AI and Qdrant.
MedSage is a multimodal healthcare assistant that combines LLMs, vector search, and real-time reasoning to deliver fast, reliable medical insights. It supports symptom analysis, medical document Q&A, universal file RAG, multilingual interactions, and emergency SOS with live location.
Implementation of the GraphRAG system based on QDrantDB + Neo4j DB on a clean Bun + TypeScript architecture
SEAS - A Smart Enrollment Advisory System for CTU, built with async FastAPI, async SQLAlchemy, and async Qdrant.
This is a RAG (Retrieval-Augmented Generation) model that leverages Qdrant as a vector store and Google Gemini for intelligent document retrieval and context-aware response generation. It efficiently processes PDF documents to provide detailed answers to user queries based on the extracted context.
Production-ready hybrid retrieval system combining vector similarity search with knowledge graph traversal for medical textbook content.
Demonstration on how to implement storage and search for JSON structured data
Archive and search Product Hunt data locally with Qdrant + MCP (GraphQL, embeddings, vector search).
Refactored RAG demo showcasing clean architecture, dependency injection, and separation of concerns for maintainable AI applications.
WinUI 3 application to take notes backed by Ollama and Qdrant.
simple data ingestion pipeline and batch processing for RAG on kubernetes
π Qdrant Data Migration: Source β Target Server
π Qdrant Vector DB Cluster with Docker Compose β Lightning-fast AI similarity search at scale!
MeowMuse is an ai-powered assistant to help manage your cat's health
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