ollama_pdf_rag and ask-my-pdf
These are **competitors**: both implement RAG pipelines for PDF interaction, but tonykipkemboi/ollama_pdf_rag emphasizes local/self-hosted inference while ask-my-pdf prioritizes browser-based execution, representing different deployment architecture choices for the same use case.
About ollama_pdf_rag
tonykipkemboi/ollama_pdf_rag
A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.
This tool helps you quickly get answers and insights from your PDF documents by having a natural conversation with them. You upload one or more PDFs, and then you can ask questions in plain language, receiving answers with citations back. Anyone who needs to extract information from documents or conduct research without relying on external AI services would find this useful.
About ask-my-pdf
nico-martin/ask-my-pdf
A Webapp that uses Retrieval Augmented Generation (RAG) and Large Language Models to interact with a PDF directly in the browser.
This web application helps you quickly understand and extract information from PDF documents. You upload a PDF, and it allows you to ask questions about its content directly in your browser. The output is a clear, concise answer based on the document, making it ideal for researchers, students, or business professionals who need to rapidly grasp key details from lengthy reports, articles, or manuals.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work