leungkimming/SK-DocumentSearch

Using Semantic Kernel to obtain answer from a PDF document, with embeddings stored in Redis and HuggingFace to create embeddings.

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Experimental

This tool helps you quickly find answers within large PDF documents. You input a PDF file and ask a question, and it extracts the most relevant information to provide a direct answer. It's designed for researchers, analysts, or anyone who needs to efficiently get specific information from lengthy reports or manuals.

No commits in the last 6 months.

Use this if you need to extract precise answers to questions from complex or lengthy PDF documents without manually sifting through pages.

Not ideal if you need to analyze unstructured text from many different sources beyond a single PDF, or if you require an extremely lightweight solution.

document-analysis information-extraction research-support knowledge-retrieval technical-documentation
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 13 / 25

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Language

C#

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Last pushed

Jan 14, 2024

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