julianschelb/RAG-based-Knowledge-Extraction-Challenge
We're facing a common corporate challenge: making technical knowledge more accessbible. We're turning to you, our innovative applicants, to help us address this using Retrieval Augmented Generation (RAG) techniques.
No commits in the last 6 months.
Stars
2
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 18, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/julianschelb/RAG-based-Knowledge-Extraction-Challenge"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GrapeCity-AI/gc-qa-rag
A RAG (Retrieval-Augmented Generation) solution Based on Advanced Pre-generated QA Pairs. 基于高级...
UKPLab/PeerQA
Code and Data for PeerQA: A Scientific Question Answering Dataset from Peer Reviews, NAACL 2025
Arfazrll/RAG-DocsInsight-Engine
Retrieval Augmented Generation (RAG) engine for intelligent document analysis. integrating LLM,...
faerber-lab/SQuAI
SQuAI: Scientific Question-Answering with Multi-Agent Retrieval-Augmented Generation (CIKM'25)
Vbj1808/Dokis
Lightweight RAG provenance middleware. Verifies every claim in an LLM response is grounded in a...