Update README.md

README.md

@@ -44,7 +44,7 @@ This model has 137 million parameters, which enables fast and memory efficient i
 Additionally, we provide the following embedding models:
 
 - [`jina-embeddings-v2-small-en`](https://huggingface.co/jinaai/jina-embeddings-v2-small-en): 33 million parameters.
-- [`jina-embeddings-v2-base-en`](https://huggingface.co/jinaai/jina-embeddings-v2-base-en): 137 million parameters **(you are here)**.
+- [`jina-embeddings-v2-base-en`](https://huggingface.co/jinaai/jina-embeddings-v2-base-en): 137 million parameters.
 - [`jina-embeddings-v2-base-zh`](https://huggingface.co/jinaai/jina-embeddings-v2-base-zh): Chinese-English Bilingual embeddings.
 - [`jina-embeddings-v2-base-de`](https://huggingface.co/jinaai/jina-embeddings-v2-base-de): German-English Bilingual embeddings.
 - [`jina-embeddings-v2-base-es`](https://huggingface.co/jinaai/jina-embeddings-v2-base-es): Spanish-English Bilingual embeddings (soon).
@@ -148,6 +148,7 @@ embeddings = model.encode(
     ]
 )
 print(cos_sim(embeddings[0], embeddings[1]))
+>>> 0.7230249
 ```
 
 If you only want to handle shorter sequence, such as 2k, pass the `max_length` parameter to the `encode` function:
@@ -159,14 +160,11 @@ embeddings = model.encode(
 )
 ```
 
-## Fully-managed Embeddings Service
-
-Alternatively, you can use Jina AI's [Embeddings platform](https://jina.ai/embeddings/) for fully-managed access to Jina Embeddings models.
-
 ## Plans
 
-The development of new bilingual models is currently underway. We will be targeting mainly the German and Spanish languages.
-The upcoming models will be called `jina-embeddings-v2-small-de/es`.
+1. Bilingual embedding models supporting more European & Asian languages, including Spanish, French, Italian and Japanese.
+2. Multimodal embedding models enable Multimodal RAG applications.
+3. High-performt rerankers.
 
 ## Contact