Popular GitHub Repositories for Document Processing

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

:zap: Cloud-native, AI-powered, document processing pipelines on AWS.

A Python framework for multi-modal document understanding with Amazon Bedrock

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.

Semantic extraction from conference proceedings.

An advanced distributed knowledge fabric for intelligent document processing, featuring multi-document agents, optimized query handling, and semantic understanding.

DocGenius AI - Generative AI Chatbot for your Documents

ETL for RAG. Transform any source into LLM-ready markdown. Focus on your AI, not integrations.

Serverless Intelligent Document Processing (IDP) solution for invoice automation using Amazon Bedrock Data Automation. Features automated data extraction, annotation, and processing pipeline built with AWS services and CDK.

Use data from MongoDB in LangChain, Llama and OpenAI

BrevityAI ?simplifies understanding lengthy documents by generating concise, accurate summaries. Built with T5, Streamlit, and Python, it supports PDF and JSON inputs with customizable options for summary length and brevity.

ClearCouncil: Automated tools for collecting, organizing, and embedding publicly available local state county council documents (minutes, agendas) into LLMs. Python, JS, and wget scripts included for easy data retrieval and integration.

This open-source project delivers a complete pipeline for converting multi-page documents (PDFs/images) into structured JSON using Vision LLMs on Amazon SageMaker. The solution leverages the SWIFT Framework to fine-tune models specifically for document understanding tasks.

CLI that helps with docs splitting, embedding and exposing them in a seamless manner

AyurGuru - Revolutionizing Wellness with Ayurveda and AI. AyurGuru is an AI-powered platform delivering Ayurvedic health solutions in real time. Users can consult a smart chatbot, upload medical reports for tailored insights, and explore comprehensive Ayurvedic blogs. Built with modern web technologies for a secure and seamless user experience.

An interactive AI-powered podcast co-host with voice interaction and document processing capabilities

Enterprise-grade document intelligence platform leveraging vector embeddings and LLMs for advanced document processing, semantic search, and information retrieval.

This project demonstrates a Retrieval-Augmented Generation (RAG) system for question answering. It integrates OpenAI’s GPT-4 model with FAISS for vector similarity search, enabling the system to provide accurate and contextually relevant answers based on a given document or dataset.

An all-in-one converter to make your files LLM-understandable