Update README.md

README.md

@@ -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>
+**<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),
+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.