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Built for HackRx 6.0 – Bajaj Finserv’s Annual Hackathon, this backend system enables intelligent query–retrieval over large documents using LLMs, semantic search, and explainable decision logic.

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DocuQuery is an intelligent query processing system that dynamically selects the best data source—internal documents, LLM knowledge, or databases—to answer user queries. It supports various file formats, maintains conversational context, and ensures scalability, accuracy, and a user-friendly experience.

This Streamlit application demonstrates the integration of ChatGroq (Llama3 model), OpenAIEmbeddings, and FAISS for document embedding and retrieval.

Local PDF Q&A chatbot built with Streamlit and LangChain

An interactive LLM-powered Streamlit app that enables users to upload PDFs, get TL;DR summaries, and ask questions using Retrieval-Augmented Generation (RAG) with Groq and LangChain.

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RAG-powered document Q&A application using LangChain, Pinecone, HuggingFace, Google Gemini, Supabase, Redis, and scikit-learn

DocuQuery is a document querying application that utilizes Retrieval-Augmented Generation (RAG) and the Llama2 model for efficient information retrieval from large documents. This user-friendly tool supports PDF uploads and delivers quick, accurate responses to user queries.

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DocuQuery is an advanced document analysis system designed to enable users to extract information and insights from a collection of documents, with the ability to retain and recall information from previous queries

Spring Boot API gateway that proxies and rate-limits traffic to the DocuQuery FastAPI service using Redis token counting.

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Infrastructure and Helm charts for the DocuQuery document querying system.

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"DocuQuery is a Retrieval-Augmented Generation (RAG) tool built with Python. It utilizes Google Gemini for reasoning, FAISS for vector storage, and LangChain for orchestration to enable accurate, context-aware Q&A across multiple PDF documents."

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A FastAPI service that extracts text from uploaded PDFs and answers questions about them using Google Gemini.

Machine Learning PDF Analyzer

Chat with your PDFs: A full-stack application built with FastAPI, React, and AI (LangChain/Gemini) for document Q&A.

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DocuQuery is a tool designed to facilitate intelligent question-answering from various document formats. Whether you have a PDF, TXT file, or even a URL link, DocuQuery allows you to upload the content and seamlessly ask questions related to the document's context.

docuquery backend

DocuQuery | PDF Chatbot

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