sagnik-datta-02/ChatwithPDF
This is a RAG project to chat with your uploaded PDF , made using Langchain and Anthropic Claude 3 used as LLM , hosted using Streamlit
This tool helps you quickly get answers from long or complex PDF documents. You upload one or more PDFs, ask questions about their content in plain language, and receive detailed, conversational responses. It's ideal for anyone who needs to extract specific information or insights from reports, manuals, or research papers without reading through every page.
No commits in the last 6 months.
Use this if you frequently need to find specific details or understand key concepts buried within multiple PDF documents.
Not ideal if you need to analyze data within tables or figures, or if your documents are primarily image-based.
Stars
18
Forks
4
Language
Python
License
MIT
Category
Last pushed
May 12, 2024
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/sagnik-datta-02/ChatwithPDF"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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