shaadclt/Summarization-Agent-Reflection
This project uses LlamaIndex's Introspective Agent to summarize product specification documents with a focus on performance specs and safety features. The pipeline loads PDF documents, extracts text, and generates a summary in less than 50 words using a reflective agent loop.
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Language
Jupyter Notebook
License
MIT
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Last pushed
May 14, 2025
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