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In the vector search setup, we normally combine a fast embedding model and an accurate but slow reranker model. 
In the vector search setup, we normally combine a fast embedding model and an accurate but slow reranker model. 
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The newly released 
The newly released 
mention
@jinaai
jinaai
text
 rerankers are small in size and almost as accurate as our base reranker. This means given a time constraint, it can scoring more candidate documents from embedding models and have a better chance to feed LLM the correct context for RAG generation. 
 rerankers are small in size and almost as accurate as our base reranker. This means given a time constraint, it can scoring more candidate documents from embedding models and have a better chance to feed LLM the correct context for RAG generation. 
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These models are available on Huggingface and has been integrated into the latest SentenceTransformers 2.7.0. Check it out!
These models are available on Huggingface and has been integrated into the latest SentenceTransformers 2.7.0. Check it out!
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resource
https://huggingface.co/jinaai/jina-reranker-v1-turbo-en
model
jinaai/jina-reranker-v1-turbo-en
https://huggingface.co/jinaai/jina-reranker-v1-turbo-en
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resource
https://huggingface.co/jinaai/jina-reranker-v1-tiny-en
model
jinaai/jina-reranker-v1-tiny-en
https://huggingface.co/jinaai/jina-reranker-v1-tiny-en
In the vector search setup, we normally combine a fast embedding model and an accurate but slow reranker model. 

The newly released @jinaai rerankers are small in size and almost as accurate as our base reranker. This means given a time constraint, it can scoring more candidate documents from embedding models and have a better chance to feed LLM the correct context for RAG generation. 

These models are available on Huggingface and has been integrated into the latest SentenceTransformers 2.7.0. Check it out!

https://huggingface.co/jinaai/jina-reranker-v1-turbo-en
https://huggingface.co/jinaai/jina-reranker-v1-tiny-en
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tomaarsen qubvel-hf clem sigridjineth dev7halo ceoofcapybaras
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Tom Aarsen
tomaarsen
user