AKSHAYINDIA05/Document_Comparison_System
Implement a Retrieval Augmented Generation (RAG) with a user interface for performing contextual comparisons between two uploaded documents. The system leverages RAG to extract relevant segments from each document, compare them, and provide meaningful insights on differences and relationships between the content of the two documents.
No commits in the last 6 months.
Stars
1
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jan 17, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/AKSHAYINDIA05/Document_Comparison_System"
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,...