Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.
-
Updated
Jul 21, 2023 - TypeScript
Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.
State-of-the-art Optical Character Recognition (OCR) with Vision Language Model (VLM) integration for enhanced accuracy and optimal document processing.
This library provides a type-safe and ergonomic interface for document processing operations including conversion, merging, compression, watermarking, and text extraction using Nutrient DWS Processor API.
���� Comprehensive study on LangChain, RAG, and vector embeddings with practical examples including PDF processing and FAQ chatbot implementation
Freedom to use PDF, DOC and other document processing
🤖 MORVS AI - An intelligent chat interface powered by Groq's LLaMA 3 model with PDF processing capabilities. Built with Next.js, React, TypeScript, and modern UI components.
A modern, AI-powered chat application that enables intelligent conversations with PDF documents using Retrieval-Augmented Generation (RAG) technology. Built with Next.js and featuring a beautiful glass morphism UI design.
Desktop survey analysis tool for university lecturers. Import PDF reports, visualise trends, and get AI-powered insights. Built with Electron for Windows, macOS, and Linux.
AI-powered Node.js/TypeScript API for resume analysis, optimization, and job application materials generation with GitHub integration and document processing.
A Node.js API server for querying PDF documents (e.g., resumes) using AI-powered question answering. Powered by Google Gemini and optional OpenAI GPT, it processes PDFs, embeds content with LangChain, and answers questions via a POST endpoint.
Add a description, image, and links to the pdf-processing topic page so that developers can more easily learn about it.
To associate your repository with the pdf-processing topic, visit your repo's landing page and select "manage topics."