Niez-Gharbi/PDF-RAG-with-Llama2-and-Gradio

Build your own Custom RAG Chatbot using Gradio, Langchain and Llama2

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This tool helps researchers, analysts, or anyone working with dense documents quickly find answers within their PDF files. You upload one or more PDFs, ask questions in plain English, and receive detailed answers directly from the document content, including specific page references. This is perfect for individuals who need to extract precise information from reports, manuals, or research papers without manually sifting through pages.

No commits in the last 6 months.

Use this if you frequently need to find specific information or answer questions based on the content of large PDF documents.

Not ideal if you need to analyze unstructured data across many different file types beyond PDFs or require complex data extraction for databases.

document-research information-retrieval knowledge-extraction report-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 9 / 25
Maturity 16 / 25
Community 19 / 25

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Stars

80

Forks

22

Language

Python

License

Apache-2.0

Last pushed

Jan 26, 2024

Commits (30d)

0

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