A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
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Updated
Nov 16, 2023 - JavaScript
A Web app stack written in FastAPI, Qdrant, and React for creating AI projects
A universal Qdrant table frontend based on transformers.js
Javascript client library for the Qdrant vector search engine
Helper package to spin-up a Qdrant instance without Docker
A semantic and full text search engine UI written in Astro and SolidJS
Dockerized AI Chatbot is an open-source project that provides a chatbot powered by artificial intelligence, specifically built using OpenAI's GPT-3 (Language Model) for natural language processing and understanding
OSINT Investigator is a Chrome Extension & Discord Bot that captures and vectorizes web content and Discord messages for semantic search using Qdrant. Ideal for OSINT, cybersecurity, and AI-powered data retrieval.
Backend for a RAG-powered news chatbot. Handles RSS ingestion, vector embeddings with Xenova + Qdrant, session caching via Redis, and chat response routing using Gemini API. Built with Node.js and Express for scalable performance.
NodeJS Application to ask questions from files by uploading them. I have used open ai chat completion and embeddings. And to store embeddings I have used Qdrant (Vector DB).
Zero-shot object detection system for visually impaired users using CLIP, OWL-ViT, and real-time audio feedback.
A scalable AI chatbot platform built with FastAPI and LangGraph, featuring multi-agent orchestration, multi-tenant vector storage, cross-chat memory, and voice call capabilities through LiveKit integration.
NewsMate is a full-stack AI chatbot that answers news-related queries using a RAG pipeline. It features Xenova embeddings, Qdrant vector search, Gemini API, Redis-based session handling, and a modern React + Tailwind CSS frontend.
MCP server to let claude connect to my obsidian notes for vector and full text search
A Node.js REST API that powers a RAG-based chatbot, handling data ingestion, vector search, and LLM-powered responses.
UrduWhiz is an AI-powered web app that makes Urdu storybooks accessible and interactive. Users can upload scanned Urdu PDFs, which are processed with OCR and semantic search. The app summarizes, indexes, and stores the content for fast retrieval, allowing users to ask natural language questions in Urdu and receive intelligent context aware answers
AI Detour Analyzer for updating GTFS data
Smart Document Assistant uses RAG and AI to turn PDF documents into interactive quizzes, Q&A, and personalized learning insights.
An intelligent healthcare receptionist application powered by Retrieval-Augmented Generation (RAG) technology with hybrid search.
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