Docs: Updated knowledge graph-specific APIs (#8927)

### What problem does this PR solve?

### Type of change

- [x] Documentation Update

docs/quickstart.mdx

@@ -222,7 +222,11 @@ The embedding models included in `v0.19.1` and `nightly` are:
 - BAAI/bge-large-zh-v1.5
 - maidalun1020/bce-embedding-base_v1
 
-These two embedding models are optimized specifically for English and Chinese, so performance may be compromised if you use them to embed documents in other languages.
+These two embedding models are optimized specifically for English and Chinese, so performance will be compromised if you use them to embed documents in other languages.
+:::
+
+:::tip NOTE
+The image size shown refers to the size of the *downloaded* Docker image, which is compressed. When Docker runs the image, it unpacks it, resulting in significantly greater disk usage. For example, a slim edition image will expand to around 7 GB once unpacked.
 :::
 
 4. Check the server status after having the server up and running:

docs/references/http_api_reference.md

@@ -772,7 +772,7 @@ Failure:
 
 **GET** `/api/v1/datasets/{dataset_id}/knowledge_graph`
 
-Gets the knowledge graph of a specific datasets.
+Retrieves the knowledge graph of a specified dataset.
 
 #### Request
 
@@ -792,7 +792,7 @@ curl --request GET \
 ##### Request parameters
 
 - `dataset_id`: (*Path parameter*)  
-  The ID of the dataset.
+  The ID of the target dataset.
 
 #### Response
 
@@ -851,7 +851,7 @@ Failure:
 
 **DELETE** `/api/v1/datasets/{dataset_id}/knowledge_graph`
 
-Deletes the knowledge graph of a specific datasets.
+Removes the knowledge graph of a specified dataset.
 
 #### Request
 
@@ -871,7 +871,7 @@ curl --request DELETE \
 ##### Request parameters
 
 - `dataset_id`: (*Path parameter*)  
-  The ID of the dataset.
+  The ID of the target dataset.
 
 #### Response