ChatPDF and RAG_over_LLM_for_pdf_ChatBot_Free

ChatPDF
50
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 6/25
Maturity 16/25
Community 13/25
Stars: 840
Forks: 144
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 16
Forks: 3
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m 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_over_LLM_for_pdf_ChatBot_Free

kiritoInd/RAG_over_LLM_for_pdf_ChatBot_Free

Retrieval-Augmented Generation on PDF for Free, Integrated with Memory to recall previous interactions, it operates as a sophisticated lang-chain application.

This tool helps you quickly get answers and insights from your PDF documents by having a natural conversation with them. You upload a PDF document, and then you can ask questions about its content. It's designed for anyone who needs to extract information efficiently from long or complex PDFs without manually searching.

document-analysis information-retrieval research-assistant knowledge-extraction report-understanding

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