modify reference

docs/docs.trychroma.com/pages/reference/js-collection.md

@@ -51,7 +51,7 @@ const response = await collection.add({
 | `params`             | `Object`                    | The parameters for the query.            |
 | `params.documents?`  | `string` \| `Documents`     | Optional documents of the items to add.  |
 | `params.embeddings?` | `Embedding` \| `Embeddings` | Optional embeddings of the items to add. |
-| `params.ids`         | `string` \| `IDs`           | IDs of the items to add.                 |
+| `params.ids`         | `string` \| `IDs`           | Optional IDs of the items to add.        |
 | `params.metadatas?`  | `Metadata` \| `Metadatas`   | Optional metadata of the items to add.   |
 
 #### Returns

docs/docs.trychroma.com/pages/reference/py-collection.md

@@ -23,25 +23,25 @@ The total number of embeddings added to the database
 ### add
 
 ```python
-def add(ids: OneOrMany[ID],
+def add(ids: Optiona[OneOrMany[ID]] = None,
         embeddings: Optional[OneOrMany[Embedding]] = None,
         metadatas: Optional[OneOrMany[Metadata]] = None,
-        documents: Optional[OneOrMany[Document]] = None) -> None
+        documents: Optional[OneOrMany[Document]] = None) -> AddResult
 ```
 
 Add embeddings to the data store.
 
 **Arguments**:
 
-- `ids` - The ids of the embeddings you wish to add
+- `ids` - The ids of the embeddings you wish to add. If None, Chroma will generate IDs using uuid v4. 
 - `embeddings` - The embeddings to add. If None, embeddings will be computed based on the documents using the embedding_function set for the Collection. Optional.
 - `metadatas` - The metadata to associate with the embeddings. When querying, you can filter on this metadata. Optional.
 - `documents` - The documents to associate with the embeddings. Optional.
 
 
 **Returns**:
 
-  None
+  - `AddResult` - An AddResult object containing IDs.
 
 
 **Raises**: