rag-demo and ChatPDF

rag-demo
50
Established
ChatPDF
50
Established
Maintenance 10/25
Adoption 6/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Stars: 20
Forks: 12
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 840
Forks: 144
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
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 ChatPDF

shibing624/ChatPDF

RAG for Local LLM, chat with PDF/doc/txt files, ChatPDF. 纯原生实现RAG功能,基于本地LLM、embedding模型、reranker模型实现,支持GraphRAG,无须安装任何第三方agent库。

This tool helps you quickly get answers from your documents without needing to read through them entirely. You input your PDF, Word, or text files, and it allows you to ask questions in natural language, providing specific answers drawn directly from your content. It's ideal for researchers, analysts, or anyone who needs to extract information efficiently from large collections of documents.

document-qa information-retrieval research-analysis knowledge-extraction report-analysis

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