State-of-the-art CLIP/SigLIP embedding models finetuned for the fashion domain. +57% increase in evaluation metrics vs FashionCLIP 2.0.
Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service
Memory Management Service, a Long Term Memory Solution for AI
🔎 A vector based image search engine using Visual Transformer model type.
DocuMentor is a sophisticated chatbot application designed to assist users in extracting valuable information from uploaded PDF documents. Users can upload PDF files, chat with the AI chatbot to ask questions or seek information related to the document, and receive well-informed responses.
Hybrid Search demo on Movies Dataset using Couchbase with Native Python SDK & LangChain Vector Store integration & Streamlit
Q&A Chatbot Demo using Couchbase, LangChain, OpenAI and Streamlit
⚡️ Build quick LLM pipelines for AI applications
This is the backend API for the Fashion Chatbot project, built using FastAPI. It processes user queries and returns intelligent fashion-related suggestions using LLMs and vector search.
The Project "Vector Search RAG" utilises advanced frameworks and language models (LangChain and OpenAI APIs) to enhance query responses by retrieving relevant documents and generating contextually accurate answers. This repo contains End-to-End implementation of RAG for training LLMs in custom data.
Tư Tưởng Hồ Chí Minh Chatbot
End-to-end RAG chatbot powered by LangChain, FAISS, OpenAI GPT-3.5, and Flask. Scrapes live Sydney Wikipedia data and answers questions in real-time
PDF-Chat is a streamlined document intelligence tool that transforms PDFs into interactive knowledge bases. Powered by Groq's high-performance LLMs and semantic search capabilities, it enables natural conversation with your documents, extracting insights through contextual question-answering.
This Python Flask application is designed to process and rank resumes based on job descriptions. It uses Azure's Document Analysis Client for document processing, and a MongoDB database for storing job descriptions and resumes. The application also generates embeddings for the processed documents using AzureOpenAI.
Awesome MongoDB tutorials, examples, and datasets for mastering NoSQL from beginner to advanced levels.
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