hrishi-008/SummarAI

A tool for summarizing search results and website content using FAISS, LLMs, and the Retrieval-Augmented Generation (RAG) technique.

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Experimental

Automates the full pipeline of scraping Google search results, extracting webpage content, and building a vector database for retrieval—offering a choice between FAISS (higher quality) or ANNOY (faster indexing) backends depending on deployment method. The Streamlit interface accepts user queries and generates RAG-based summaries by combining retrieved document chunks with language models via the GROQ API. Includes Docker containerization for streamlined deployment and saves summaries locally for reference.

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No License Stale 6m No Package No Dependents
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Adoption 7 / 25
Maturity 1 / 25
Community 16 / 25

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29

Forks

6

Language

Python

License

Last pushed

Mar 26, 2025

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