jinaai
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jina-embeddings-v2-base-en

Feature Extraction

sentence-transformers

sentence-similarity

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bwang0911 commited on Nov 14, 2023

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Update README.md (#27)

- Update README.md (3627135d756fd2fa86ad752269966f6570ec0650)

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@@ -2652,7 +2652,7 @@ Jina Embeddings V2 [technical report](https://arxiv.org/abs/2310.19923)
 ## Usage
-<details><summary>Please apply **mean pooling** when integrating the model.</summary>
 <p>
 ### Why mean pooling?
@@ -2717,7 +2717,7 @@ Alternatively, you can use Jina AI's [Embedding platform](https://jina.ai/embedd
 ## Use Jina Embeddings for RAG
-According to the latest blog post from [LLama Index](https://blog.llamaindex.ai/boosting-rag-picking-the-best-embedding-reranker-models-42d079022e83),
 > In summary, to achieve the peak performance in both hit rate and MRR, the combination of OpenAI or JinaAI-Base embeddings with the CohereRerank/bge-reranker-large reranker stands out.

 ## Usage
+**<details><summary>Please apply mean pooling when integrating the model.</summary>**
 <p>
 ### Why mean pooling?
 ## Use Jina Embeddings for RAG
+According to the latest blog post from [LLamaIndex](https://blog.llamaindex.ai/boosting-rag-picking-the-best-embedding-reranker-models-42d079022e83),
 > In summary, to achieve the peak performance in both hit rate and MRR, the combination of OpenAI or JinaAI-Base embeddings with the CohereRerank/bge-reranker-large reranker stands out.