Text-to-image search engine for fashion runway photos using CLIP and FAISS.
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Updated
Jun 27, 2025 - JavaScript
Text-to-image search engine for fashion runway photos using CLIP and FAISS.
Automatically turns research papers into fully structured Python projects. Using a multi-agent pipeline with RAG-based context retrieval. With Human-in-the-loop approval. Perfect for quickly prototyping implementations from academic papers.
RAG-based-on-PDF is a RAG system that lets users ask questions from one web page of VS code documentation which is scraped (given below) using FAISS, HuggingFace embeddings, and a OpenRouter Api via a FastAPI backend and Streamlit as Frontend.
Persistent conversational AI with memory, identity, and time awareness — powered by Gemini API
An LLM-powered semantic search tool for arXiv papers using sentence transformers and vector similarity search.
AskMyPDF AI is a smart digital assistant that lets you "talk" to your PDF documents to get instant answers without reading through every page.
Inmemory semantic search over images/captions using image and text
FarhunVerse is an interactive, AI-driven developer portfolio built entirely using Streamlit,designed to showcase my technical expertise, hackathon achievements,creative pursuits in one dynamic experience. It merges the elegance of modern UI design with AI-powered interactivity, making it more than just a portfolio —it’s a living digital identity
AI-powered assistant to query and chat with multi-format documents using natural language.
The Medical RAG Chatbot is an AI-powered chatbot designed to provide accurate medical information using a Retrieval-Augmented Generation (RAG) approach. It combines large language models (LLMs), vector search, and PDF data to deliver precise, context-aware answers.
A smart book discovery app that finds your next read based on the specific story you want to experience, not just genres. Tell us what kind of narrative you're craving, and we'll match you with perfect books.
Local Retrieval-Augmented Generation system for PDF QA using Ollama and FAISS
A lightweight FastAPI service for ingesting documents, creating embeddings with SentenceTransformers, indexing them in FAISS, and performing semantic search.
AI-Powered YouTube Summarizer and QA Tool with RAG and FAISS
基于OpenCLIP的图像检索系统,支持文搜图、图搜图,结合FAISS能够通过用户上传图片库快速建立索引来实现图像检索
RAG Chatbot to provide advice based on YouTube Channel Transcripts
Deep Learning Image Based Fashion Recommendations
AI-powered customer support automation platform with structured LLM triage, risk-based decision engine, and RAG-grounded responses. Implements auto-resolution with human-in-the-loop agent assistance using FastAPI and PostgreSQL.
Smart PDF Analyzer with OCR and Semantic Search
An end-to-end RAG chatbot that retrieves information from your documents and generates accurate, context-aware answers using NVIDIA NIM and Gemma-3n-e4b-it. Features include multi-file upload, FAISS in-memory vector store, chat history, hallucination prevention rules, and support for PDF, DOCX, TXT, and CSV files — all wrapped in a fast Streamlit i
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