bwang0911 commited on
Commit
8705ed9
1 Parent(s): 26ac06b

Update README.md (#25)

Browse files

- Update README.md (eb31ea6e9ed0bde8a1feef15c40f23973d70ffcb)

Files changed (1) hide show
  1. README.md +3 -6
README.md CHANGED
@@ -2673,17 +2673,14 @@ embeddings = model.encode(
2673
  )
2674
  ```
2675
 
2676
- *Alternatively, you can use Jina AI's [Embedding platform](https://jina.ai/embeddings/) for fully-managed access to Jina Embeddings models*.
2677
 
2678
- ## Fine-tuning
2679
-
2680
- Please consider [Finetuner](https://github.com/jina-ai/finetuner).
2681
 
2682
  ## Use Jina Embeddings for RAG
2683
 
2684
  Jina Embeddings are very effective for retrieval augmented generation (RAG).
2685
- Ravi Theja wrote a blog post on using Jina Embeddings together with [LLama Index](https://github.com/run-llama/llama_index) for RAG:
2686
- https://blog.llamaindex.ai/boosting-rag-picking-the-best-embedding-reranker-models-42d079022e83
2687
 
2688
  <img src="https://miro.medium.com/v2/resize:fit:4800/format:webp/1*ZP2RVejCZovF3FDCg-Bx3A.png" width="780px">
2689
 
 
2673
  )
2674
  ```
2675
 
2676
+ ## Fully-managed Embeddings Service
2677
 
2678
+ Alternatively, you can use Jina AI's [Embedding platform](https://jina.ai/embeddings/) for fully-managed access to Jina Embeddings models.
 
 
2679
 
2680
  ## Use Jina Embeddings for RAG
2681
 
2682
  Jina Embeddings are very effective for retrieval augmented generation (RAG).
2683
+ 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:
 
2684
 
2685
  <img src="https://miro.medium.com/v2/resize:fit:4800/format:webp/1*ZP2RVejCZovF3FDCg-Bx3A.png" width="780px">
2686