A modern desktop application for exploring, managing, and analyzing vector databases

Open multilingual construction cost database for AI Agents - 55K+ work items, 27K+ resources, 9 languages. Semantic search via Qdrant vector DB

Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.

This is a RAG implementation using Open Source stack. BioMistral 7B has been used to build this app along with PubMedBert as an embedding model, Qdrant as a self hosted Vector DB, and Langchain & Llama CPP as an orchestration frameworks.

A production framework for DSPy implementing the Teacher-Student pattern. Distill the reasoning of expensive models (Teacher) into optimized prompts for cheap, fast models (Student) to reduce inference costs by up to 50x.

FlutterGPT - AI chatbot powered by OpenAI API, Qdrant, LangChain and AWS Lambda

The objective of this project is to create a chatbot that can be used to communicate with users to provide answers to their health issues. This is a RAG implementation using open source stack.

AI-Powered Visual Evidence Matching for Indian Law Enforcement using Qdrant Vector Search - Convolve 4.0 Hackathon Submission

Store and search string data using embeddings + Qdrant vector database via Flask. Fully containerized with Docker.

IRC bot with AI-powered knowledge retrieval and dynamic learning. Real-time conversation via GPT-4o-mini, vector search (Qdrant), and community-driven corrections. Includes Python web scraper toolchain for content ingestion. Built on n8n + PostgreSQL. Respectful of robots.txt and site policies.

Arabic RAG chatbot (Bosala AI) transforms documents into a searchable knowledge base using Gemini and Qdrant. Includes a web UI, admin analytics, and easy ingestion tools for high-quality Arabic Q&A

This is a comprehensive stock management system that integrates AI-powered tools for stock analysis, trade requests, and client activity tracking. It includes a backend built with Python, a frontend with HTML, and services for PDF processing, stock queries, and real-time communication.