ParthSareen/simple-rag
Too many docs? Quickly search over any PDF or Markdown documents
This tool helps you quickly get answers from a large collection of your own PDF or Markdown documents without needing to upload them to third-party services. You provide your local documents, and it allows you to ask questions and receive answers directly from their content. This is for anyone who frequently needs to extract information or insights from their own extensive document archives, like researchers, legal professionals, or operations managers.
No commits in the last 6 months.
Use this if you need to rapidly search and get answers from your personal or organizational PDF and Markdown files while keeping everything private and local.
Not ideal if you primarily work with other document formats like spreadsheets or presentations, or if you need to integrate with complex enterprise content management systems.
Stars
65
Forks
6
Language
Python
License
—
Category
Last pushed
Nov 30, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/ParthSareen/simple-rag"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
thiswillbeyourgithub/wdoc
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype,...
Arterning/DeepParseX
DeepParseX 是一个强大的多模态文档解析与知识管理平台，支持 PDF、Word、Excel、PPT、图片、视频、音频 等多种文件格式的智能解析，自动提取关键信息，并构建...
NoEdgeAI/pdfdeal
A python wrapper for the Doc2X API and comes with native texts processing (to improve PDF recall...
laxmimerit/RAGWire
Production-grade RAG toolkit — ingest PDFs, DOCX, XLSX into Qdrant with LLM metadata extraction,...
David-Lolly/ViewRAG
图文并茂的 PDF RAG 系统：支持版式感知分块、图表深度理解与精准视觉溯源。 Multimodal PDF RAG: Features layout-aware chunking,...