neomatrix369/AIE7-Demo-Day-Project
RagCheck is a proactive corpus quality assessment tool that analyses RAG application document collections before deployment, identifying content gaps and providing specific recommendations to improve query performance. The platform transforms reactive corpus fixes into proactive quality assurance, helping organisations achieve as high as 85% score.
Stars
11
Forks
—
Language
TypeScript
License
—
Category
Last pushed
Oct 27, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/neomatrix369/AIE7-Demo-Day-Project"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
pguso/rag-from-scratch
Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of...
intersystems-community/iris-vector-rag
Enterprise RAG pipelines with native IRIS vector search. 6 production implementations with RAGAS...
microsoft/RAG_Hack
Hack Together: RAG Hack | Register, Learn, Hack
huangjia2019/rag-project01-framework
[RAG训练营] u.geekbang.org/subject/airag/1009927 这是我用Cursor自行制作的RAG Framework,好处是可以掌控RAG每一个环节的教学细节。
BUAADreamer/EasyRAG
Easy-to-Use RAG Framework; CCF AIOps International Challenge 2024 Top3 Solution; CCF AIOps 国际挑战赛...