Popular GitHub Repositories for Pdf Document Processor

CCKS2019评测任务五-公众公司公告信息抽取，第3名

This is a Python application that allows you to load a PDF and ask questions about it using natural language. The application uses a LLM to generate a response about your PDF. The LLM will not answer questions unrelated to the document.

A Python pipeline tool and plugin ecosystem for processing technical documents. Process papers from arXiv, SemanticScholar, PDF, with GROBID, LangChain, listen as podcast. Customize your own pipelines.

In this project, we used Langchain to create a ChatGPT for your PDF using Streamlit. We built an application that allows you to ask questions about a PDF document and get answers directly from an LLM (Large Language Model), like OpenAI's ChatGPT.

Proof of concept of training a simple Region Classifier using PdfPig and ML.NET (LightGBM). The objective is to classify each text block in a pdf document page as either title, text, list, table and image.

PDF2PPT Generator is a Python tool that creates Powerpoint presentations from PDF files by using smart summarization techniques assisted by GPT-3.5-Turbo

Extracting details from Resume(CVs) and matching with Job Description(JDs) using pretrained model like DistilBERT and ranking them using cosine similarity.

The contents of this repository showcase how to extract table data from a PDF file and preprocess it to facilitate word embedding. This preprocessing step enhances the readability of table data for language models and enables us to extract more contextual information from the tables.

Active learning agent-based-simulation for systematic reviews and other types of technology assisted review (TAR) which will include PDF documents and other meta-datas in itself and it's based on both fulltext-screening decisions and title-screening decisions.

Emotional Chatbot AI Question & Answer Text-Generation Knowledge-based on Formula 1 sport.

Cortex AI: Multi-Model Insights Hub is an advanced platform that leverages cutting-edge AI to empower your research, analysis, and data exploration. By integrating multiple Large Language Models (LLMs) with a sophisticated Retrieve-and-Generate (RAG) system

A RAG (Retrieval-Augmented Generation) AI chatbot that allows users to upload multiple document types (PDF, DOCX, TXT, CSV) and ask questions about the content. Built using LangChain, Hugging Face embeddings, and Streamlit, it enables efficient document search and question answering using vector-based retrieval. ?

Classification of historical page images using ViT - for ATRIUM project

Chat with your pdf files.

?? Meet our PDF Chatbot! Extract insights from PDFs effortlessly. Upload, query, and get instant answers! ?? #AI #PDF #Chatbot

This repository contains PDF Summarization & Keyword Extraction Pipeline project. It is deployed on HuggingFace Spaces.

This repo includes a python file that has the code for building a simple chatbot that answers questions regarding a PDF. The input is the PDF.

RAG agent based on Ollama and DeepSeek-R1