colesmcintosh/cerebras-openrouter-hackathon-rag-system
An advanced RAG (Retrieval-Augmented Generation) system that provides intelligent access to Cerebras inference documentation with citations, conversation memory, and multiple interfaces.
This system helps developers, researchers, and technical staff quickly find precise answers within Cerebras inference documentation. You input questions in plain language, and it provides accurate answers supported by direct quotes and source references from the documentation. It’s designed for anyone needing fast, reliable information about Cerebras technology without manually sifting through many documents.
No commits in the last 6 months.
Use this if you frequently need to look up specific information or troubleshoot issues related to Cerebras inference products and want to quickly get cited answers from their official documentation.
Not ideal if you are looking for general knowledge or information outside of Cerebras inference documentation, or if you prefer browsing full documents rather than asking direct questions.
Stars
10
Forks
2
Language
Python
License
—
Category
Last pushed
May 24, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/colesmcintosh/cerebras-openrouter-hackathon-rag-system"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
NirDiamant/RAG_Techniques
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG)...
VectorInstitute/fed-rag
A framework for fine-tuning retrieval-augmented generation (RAG) systems.
RUC-NLPIR/FlashRAG
⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)
ictnlp/FlexRAG
FlexRAG: A RAG Framework for Information Retrieval and Generation.
Andrew-Jang/RAGHub
A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and...