How udayallu/rag-multi-corpus works
RAG-Multi-Corpus is a synthetic, multi-domain document dataset and evaluation benchmark, not a RAG application. Its core use is to supply enterprise corpora in multiple formats and a curated question set for evaluating retrieval and answer quality. The README documents five organizations and benchmark use; no runtime code or transformation pipeline is present in the supplied tree, so the graph represents dataset assets and documented evaluation relationships only.
Main entry points: Aventro Motors Aventro Motors · CloudWay-24 CloudWay 24 · Cendara University Cendara University · Velvera Technologies Velvera Technologies
Components 16
Enterprise corpora
- Aventro Motors
datasets/Aventro Motors - CloudWay 24
datasets/CloudWay-24 - Cendara University
datasets/Cendara University - Velvera Technologies
datasets/Velvera Technologies - ZX Bank
datasets/ZX Bank
Document formats
- PDF documents
datasets - HTML documents
datasets - DOCX documents
datasets - PPTX documents
datasets - Markdown documents
datasets
Benchmark assets
- Curated Q&A
bechmark/bechmark-agentic-references - Query categories
bechmark/bechmark-agentic-references/Dataset categories - queries.csv - Aggregated chunks
bechmark/bechmark-agentic-references - Parsed chunks
bechmark/bechmark-agentic-references/parsed-chunks - Reduced-token chunks
bechmark/bechmark-agentic-references/parsed-chunks-less-tokens
Other components
- RAG system
Connections 35
- Aventro Motors → PDF documents: available as
- Aventro Motors → HTML documents: available as
- Aventro Motors → DOCX documents: available as
- Aventro Motors → PPTX documents: available as
- Aventro Motors → Markdown documents: available as
- CloudWay 24 → PDF documents: available as
- CloudWay 24 → HTML documents: available as
- CloudWay 24 → DOCX documents: available as
- CloudWay 24 → PPTX documents: available as
- CloudWay 24 → Markdown documents: available as
- Cendara University → PDF documents: available as
- Cendara University → HTML documents: available as
- Cendara University → DOCX documents: available as
- Cendara University → PPTX documents: available as
- Cendara University → Markdown documents: available as
- Velvera Technologies → PDF documents: available as
- Velvera Technologies → HTML documents: available as
- Velvera Technologies → DOCX documents: available as
- Velvera Technologies → PPTX documents: available as
- Velvera Technologies → Markdown documents: available as
- ZX Bank → PDF documents: available as
- ZX Bank → HTML documents: available as
- ZX Bank → DOCX documents: available as
- ZX Bank → PPTX documents: available as
- ZX Bank → Markdown documents: available as
- RAG system → Aventro Motors: evaluates against
- RAG system → CloudWay 24: evaluates against
- RAG system → Cendara University: evaluates against
- RAG system → Velvera Technologies: evaluates against
- RAG system → ZX Bank: evaluates against
- Curated Q&A → RAG system: tests answers
- Query categories → Curated Q&A: classifies queries
- Aggregated chunks → RAG system: supports benchmarking
- Parsed chunks → RAG system: supports benchmarking
- Reduced-token chunks → RAG system: supports benchmarking