BlueBash/RAG-Raptor-RE-Ranker-demo
The method of re-ranking involves a two-stage retrieval system, with re-rankers playing a crucial role in evaluating the relevance of each document to the query. RAG systems can be optimized to mitigate hallucinations and ensure dependable search outcomes by selecting the optimal reranking model.
No commits in the last 6 months.
Stars
5
Forks
1
Language
Python
License
—
Category
Last pushed
Jul 16, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/BlueBash/RAG-Raptor-RE-Ranker-demo"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Marker-Inc-Korea/AutoRAG
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation &...
jxzhangjhu/Awesome-LLM-RAG
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
IntelLabs/RAG-FiT
Framework for enhancing LLMs for RAG tasks using fine-tuning.
coree/awesome-rag
A curated list of retrieval-augmented generation (RAG) in large language models
IntelLabs/fastRAG
Efficient Retrieval Augmentation and Generation Framework