Official Java client for Qdrant

Local-GenAI-Search is a generative search engine based on Llama 3, langchain and qdrant that answers questions based on your local files

Building a Chain of Thought RAG Model with DSPy, Qdrant and Ollama

Scalable Qdrant vector database cluster with Docker Compose, monitoring, and comprehensive documentation for high-performance similarity search applications.

此存储库展示了用于检索增强生成（RAG）系统的各种先进技术。RAG 系统将信息检索与生成模型相结合，以提供准确且上下文丰富的响应。

All CPU efficient GPU-less Financial Analysis RAG Model with Qdrant, Langchain and GPT4All x Mistral-7B, run RAG without any GPU support!

QDrant Vector Database with Python Tutorials

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.

Explore how to perform Role Based Access Control in Qdrant Vector Datase

About A simple RAG (Retrieval-Augmented Generation) app built with Streamlit. Upload PDFs, ask questions, and get context-aware answers using Qdrant and Hugging Face Transformers.

VoicePassport 🎤 is a proof-of-concept project exploring user authentication through voice recognition, blockchain-based security ⛓️, and vector databases 📊. It aims to experiment with innovative approaches to secure and efficient identity verification in an educational or research-oriented context.

A Streamlit web app for efficient management of Qdrant vector databases. Features include collection creation/deletion, point retrieval/search, and vector data upload, simplifying Qdrant operations through an intuitive interface.

A Neural Search Tool that helps you find relevant papers to read based on your interests

Rust App on Qdrant - Vector database

A Retrieval-Augmented Generation (RAG) project built with FastAPI, MongoDB, Qdrant, and JWT authentication—featuring secure document uploads, chunking, embeddings, and context-aware AI responses. Designed to be scalable, reliable, and production-ready.

CLI, SDK, and gateway for Qdrant — SQL-like queries, score shaping, retrieval diagnostics, and stable JSON output for scripts and agents.

Swift gRPC/REST Client for Qdrant Vector Database

RAG powered AI chatbot for Indian Language (Hindi) using LangChain, Ollama, Qdrant, and MLFlow

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.

LlamaIndex&LangChine wiht LLM