Skip to content
#

pdf-extraction

Here are 29 public repositories matching this topic...

Conversion of PDF documents to structured Markdown, optimized for Retrieval Augmented Generation (RAG) and other NLP tasks. Extract text, tables, and images with preserved formatting for enhanced information retrieval and processing.

  • Updated Nov 22, 2024
  • Python

A PDF Reader application powered by AI, allowing users to upload PDF documents and extract meaningful information using advanced NLP models. Built with Streamlit, Transformers, and Langchain, this app provides a seamless interface for interacting with and analyzing PDF content.

  • Updated Apr 24, 2025
  • Python

PDF Query LangChain is a tool that extracts and queries information from PDF documents using advanced language processing. Leveraging LangChain, OpenAI, and Cassandra, this app enables efficient, interactive querying of PDF content. Ideal for data analysis, research, and automated reporting, it simplifies detailed document analysis with ease.

  • Updated Jul 23, 2024
  • Python

Billionaires RAG Query uses LLMs and a RAG framework to analyze the world's billionaires list. Extracts tabular data from PDFs, converts to multiple formats, and enables precise queries about net worth, age, and more. Integrates with Poetry and asdf for easy setup and management.

  • Updated Oct 17, 2024
  • Python

Improve this page

Add a description, image, and links to the pdf-extraction topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the pdf-extraction topic, visit your repo's landing page and select "manage topics."

Learn more