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  1. README.md +3 -6
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@@ -2673,17 +2673,14 @@ embeddings = model.encode(
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  )
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  ```
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- *Alternatively, you can use Jina AI's [Embedding platform](https://jina.ai/embeddings/) for fully-managed access to Jina Embeddings models*.
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- ## Fine-tuning
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-
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- Please consider [Finetuner](https://github.com/jina-ai/finetuner).
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  ## Use Jina Embeddings for RAG
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  Jina Embeddings are very effective for retrieval augmented generation (RAG).
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- Ravi Theja wrote a blog post on using Jina Embeddings together with [LLama Index](https://github.com/run-llama/llama_index) for RAG:
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- https://blog.llamaindex.ai/boosting-rag-picking-the-best-embedding-reranker-models-42d079022e83
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  <img src="https://miro.medium.com/v2/resize:fit:4800/format:webp/1*ZP2RVejCZovF3FDCg-Bx3A.png" width="780px">
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  )
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  ```
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+ ## Fully-managed Embeddings Service
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+ Alternatively, you can use Jina AI's [Embedding platform](https://jina.ai/embeddings/) for fully-managed access to Jina Embeddings models.
 
 
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  ## Use Jina Embeddings for RAG
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  Jina Embeddings are very effective for retrieval augmented generation (RAG).
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+ Ravi Theja wrote a [blog post](https://blog.llamaindex.ai/boosting-rag-picking-the-best-embedding-reranker-models-42d079022e83) on using Jina Embeddings together with [LLama Index](https://github.com/run-llama/llama_index) for RAG:
 
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  <img src="https://miro.medium.com/v2/resize:fit:4800/format:webp/1*ZP2RVejCZovF3FDCg-Bx3A.png" width="780px">
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