Miscellaneous doc updates and refactored team management doc. (#6730)

### What problem does this PR solve?

#5576, #6672

### Type of change


- [x] Documentation and UI Update

docs/guides/dataset/configure_knowledge_base.md

@@ -65,14 +65,6 @@ An embedding model converts chunks into embeddings. It cannot be changed once th
 The following embedding models can be deployed locally:
 
 - BAAI/bge-large-zh-v1.5
-- BAAI/bge-base-en-v1.5
-- BAAI/bge-large-en-v1.5
-- BAAI/bge-small-en-v1.5
-- BAAI/bge-small-zh-v1.5
-- jinaai/jina-embeddings-v2-base-en
-- jinaai/jina-embeddings-v2-small-en
-- nomic-ai/nomic-embed-text-v1.5
-- sentence-transformers/all-MiniLM-L6-v2
 - maidalun1020/bce-embedding-base_v1
 
 ### Upload file

docs/guides/dataset/set_page_rank.md

@@ -36,4 +36,4 @@ If you set the page rank value to a non-integer, say 1.7, it will be rounded dow
 
 If you configure a chat assistant's **similarity threshold** to 0.2, only chunks with a hybrid score greater than 0.2 x 100 = 20 will be retrieved and sent to the chat model for content generation. This initial filtering step is crucial for narrowing down relevant information.
 
-If you have assigned a page rank of 1 to knowledge base A (2024 news) and 0 to knowledge base B (2023 news), the final hybrid scores of the retrieved chunks will be adjusted accordingly. A chunk from knowledge base A with an initial score of 50 will receive a boost of 1 x 100 = 100 points, resulting in a final score of 50 + 1 x 100 = 150. In this way, chunks retrieved from knowledge base A will always precede chunks from knowledge base B.
+If you have assigned a page rank of 1 to knowledge base A (2024 news) and 0 to knowledge base B (2023 news), the final hybrid scores of the retrieved chunks will be adjusted accordingly. A chunk retrieved from knowledge base A with an initial score of 50 will receive a boost of 1 x 100 = 100 points, resulting in a final score of 50 + 1 x 100 = 150. In this way, chunks retrieved from knowledge base A will always precede chunks from knowledge base B.