ChatPDF and rag-conversational-agent

ChatPDF
50
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 6/25
Adoption 8/25
Maturity 8/25
Community 16/25
Stars: 840
Forks: 144
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 43
Forks: 8
Downloads:
Commits (30d): 0
Language: Python
License:
Stale 6m No Package No Dependents
No License No Package No Dependents

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

About rag-conversational-agent

enricollen/rag-conversational-agent

A simple local Retrieval-Augmented Generation (RAG) chatbot that can answer to questions by acquiring information from personal PDF documents.

This tool helps you quickly get answers from your personal PDF documents by turning them into a smart chatbot. You input your collection of PDFs, and it allows you to ask questions in plain language, receiving summarized answers based solely on the information found within those documents. It's ideal for researchers, analysts, or anyone who needs to quickly extract specific information from a private library of text.

document-search research-analysis information-retrieval knowledge-management

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