LLM-RAG PDF Extractor

Introduction

The LLM-RAG PDF Extractor is an open-source tool designed to efficiently parse and extract data from PDF documents using retrieval-augmented generation (RAG) techniques powered by large language models (LLMs).

Features

• Accurate text extraction from PDFs.
• Integration with LLMs for advanced processing.
• Customizable workflows for diverse use cases.

Usage Instructions

1. Clone the repository: git clone https://github.com/datpro12345/llm_rag_pdf_extractor
2. Install dependencies: pip install -r requirements.txt
3. Run the tool on sample PDFs.

Applications

This tool is ideal for document summarization, legal text analysis, academic research, and more.

License

MIT License.

Gtihub Repo: https://github.com/datpro12345/llm_rag_pdf_extractor