RAG (Retrieval Augmented Generation) and vector search to translate natural language into SQL queries for PostgreSQL databases.

A blog recommendation engine built for text driven static sites

Qdrant Vector Database + FastAPI

A RAG implementation on Llama Index using Qdrant vector stores as storage. Take some pdfs, store them in the db, use LLM to inference, enjoy.

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 chatbot, built with Streamlit, that download scientific papers and answer to question related to them. Powered by Groq and LLama3

A chat bot trained on a document.

A state-of-the-art Retrieval-Augmented Generation (RAG) application using OpenAI, Qdrant vector store, embeddings, FastAPI, React for the UI, NewsAPI, Word Cloud, and Langchain. This project enables dynamic reading and QA on news articles, focusing on various people of interest, with real-time, personalized news insights.

findthatbit.com + findthatbit.info

Backend service of AutoMate Gen-AI application. Includes API endpoints for chat and vision operations.

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

This repository holds a query engine LLM based on the vector DB of BigBasket products list

Build amazing AI and RAG-powered applications, plain and simple🪂

Langchain, OpenAI and Streamlit app Data Already embedded, This app demonstrate, persistence database querying(Similarity search). Returns Top 2 -k when a user make a search.

News Observatory

Retrieval Augmented Generation

PaperChat is an AI-powered chat application designed to handle PDF documents through a user-friendly interface. Users can upload PDF files, ask questions related to the content within those documents, and receive responses generated using advanced natural language processing (NLP) techniques.

VoicePassport 🎤is an innovative authentication system leveraging voice recognition technology, blockchain ⛓️ security, and vector databases 📊 for robust and seamless user verification.

A Retrieval Augmentation Generation Based QnA AI Bot developed Based on Company Dataset and Documentation utilizing Gemini Pro LLM

Performing a RAG (Retrieval Augmented Generation) assessment using voice-to-voice query resolution. Provide the file containing the queries, ask the questions, and receive the results via voice.