rag-demo and LLama3-ChatPDF

rag-demo
50
Established
LLama3-ChatPDF
39
Emerging
Maintenance 10/25
Adoption 6/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 6/25
Maturity 16/25
Community 17/25
Stars: 20
Forks: 12
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 17
Forks: 8
Downloads:
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About rag-demo

couchbase-examples/rag-demo

A RAG demo using LangChain that allows you to chat with your uploaded PDF documents

This tool helps professionals quickly find answers within their uploaded PDF documents. You input one or more PDFs and ask questions in a chat interface, receiving summarized answers based on your documents. It's designed for anyone needing to efficiently extract information from custom PDF content without manually sifting through pages.

document-intelligence information-retrieval research-analysis content-query knowledge-extraction

About LLama3-ChatPDF

Sh9hid/LLama3-ChatPDF

A conversational AI RAG application powered by Llama3, Langchain, and Ollama, built with Streamlit, allowing users to ask questions about a PDF file and receive relevant answers.

This tool helps you quickly get answers from your PDF documents without needing to manually search through pages of text. You provide a PDF file, and then you can ask questions about its content in a chat interface, receiving direct answers. This is ideal for researchers, students, or business professionals who frequently need to extract specific information from long reports, textbooks, or manuals.

document-analysis information-retrieval research-assistance data-privacy knowledge-extraction

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