leungkimming/SK-DocumentSearch
Using Semantic Kernel to obtain answer from a PDF document, with embeddings stored in Redis and HuggingFace to create embeddings.
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.
Stars
10
Forks
2
Language
C#
License
—
Category
Last pushed
Jan 14, 2024
Commits (30d)
0
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