ChatPDF and pdfLLM

ChatPDF
50
Established
pdfLLM
42
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 14/25
Stars: 840
Forks: 144
Downloads:
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 187
Forks: 17
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 pdfLLM

ikantkode/pdfLLM

pdfLLM is a completely open source, proof of concept RAG app.

This tool helps businesses manage and query their document collection by allowing you to upload various file types, including PDFs, images, and office documents. It processes them, understands their content, and then lets you ask questions about your documents, providing precise, cited answers. Business owners, office managers, or administrative staff who deal with a high volume of diverse documents will find this useful.

document-management business-intelligence information-retrieval office-administration data-extraction

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