diff --git a/docs/docs/cloud/reference/cli.md b/docs/docs/cloud/reference/cli.md
index 34629fa4e..914611ffe 100644
--- a/docs/docs/cloud/reference/cli.md
+++ b/docs/docs/cloud/reference/cli.md
@@ -81,6 +81,15 @@ The `fields` configuration determines which parts of your documents to embed:
 }
 ```
 
+!!! note "Common model dimensions"
+        - openai:text-embedding-3-large: 3072
+        - openai:text-embedding-3-small: 1536
+        - openai:text-embedding-ada-002: 1536
+        - cohere:embed-english-v3.0: 1024
+        - cohere:embed-english-light-v3.0: 384
+        - cohere:embed-multilingual-v3.0: 1024
+        - cohere:embed-multilingual-light-v3.0: 384
+
 #### Semantic search with a custom embedding function
 
 If you want to use semantic search with a custom embedding function, you can pass a path to a custom embedding function:
diff --git a/libs/checkpoint/langgraph/store/base/__init__.py b/libs/checkpoint/langgraph/store/base/__init__.py
index 9673fc6cb..7734eff03 100644
--- a/libs/checkpoint/langgraph/store/base/__init__.py
+++ b/libs/checkpoint/langgraph/store/base/__init__.py
@@ -478,13 +478,13 @@ class IndexConfig(TypedDict, total=False):
     """Number of dimensions in the embedding vectors.
     
     Common embedding models have the following dimensions:
-        - OpenAI text-embedding-3-large: 256, 1024, or 3072
-        - OpenAI text-embedding-3-small: 512 or 1536
-        - OpenAI text-embedding-ada-002: 1536
-        - Cohere embed-english-v3.0: 1024
-        - Cohere embed-english-light-v3.0: 384
-        - Cohere embed-multilingual-v3.0: 1024
-        - Cohere embed-multilingual-light-v3.0: 384
+        - openai:text-embedding-3-large: 3072
+        - openai:text-embedding-3-small: 1536
+        - openai:text-embedding-ada-002: 1536
+        - cohere:embed-english-v3.0: 1024
+        - cohere:embed-english-light-v3.0: 384
+        - cohere:embed-multilingual-v3.0: 1024
+        - cohere:embed-multilingual-light-v3.0: 384
     """
 
     embed: Union[Embeddings, EmbeddingsFunc, AEmbeddingsFunc]
diff --git a/libs/cli/langgraph_cli/config.py b/libs/cli/langgraph_cli/config.py
index 99db440e1..5a15ac479 100644
--- a/libs/cli/langgraph_cli/config.py
+++ b/libs/cli/langgraph_cli/config.py
@@ -17,13 +17,13 @@ class IndexConfig(TypedDict, total=False):
     """Number of dimensions in the embedding vectors.
     
     Common embedding models have the following dimensions:
-        - OpenAI text-embedding-3-large: 256, 1024, or 3072
-        - OpenAI text-embedding-3-small: 512 or 1536
-        - OpenAI text-embedding-ada-002: 1536
-        - Cohere embed-english-v3.0: 1024
-        - Cohere embed-english-light-v3.0: 384
-        - Cohere embed-multilingual-v3.0: 1024
-        - Cohere embed-multilingual-light-v3.0: 384
+        - openai:text-embedding-3-large: 3072
+        - openai:text-embedding-3-small: 1536
+        - openai:text-embedding-ada-002: 1536
+        - cohere:embed-english-v3.0: 1024
+        - cohere:embed-english-light-v3.0: 384
+        - cohere:embed-multilingual-v3.0: 1024
+        - cohere:embed-multilingual-light-v3.0: 384
     """
 
     embed: str