rajveersinghcse/Agentic_RAG
✌️ A dynamic Retrieval-Augmented Generation (RAG) system with support for PDF indexing, website crawling, and semantic Q&A powered by OpenAI, Qdrant, and Streamlit.
This tool helps you quickly get answers from large documents and websites without manually sifting through information. You provide PDF files or website URLs, and it intelligently retrieves answers to your questions, even performing an online search if the information isn't found in your sources. Anyone needing to extract specific information from a collection of documents or web pages, like researchers, analysts, or content strategists, would find this useful.
No commits in the last 6 months.
Use this if you frequently need to find specific information across multiple large PDFs or a set of websites and want to automate the lookup process.
Not ideal if you need a system to generate completely novel content or engage in free-form conversations without reference to specific provided documents or web pages.
Stars
10
Forks
6
Language
Python
License
—
Category
Last pushed
Nov 19, 2024
Commits (30d)
0
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