Update tutorials/how-to-implement-rag-generativeapis/index.mdx

Co-authored-by: Jessica <[email protected]>

Author: fpagny

tutorials/how-to-implement-rag-generativeapis/index.mdx

@@ -211,7 +211,7 @@ Then, we will embed them as vectors and store these vectors in your PostgreSQL d
    vector_store = PGVector(connection=connection_string, embeddings=embeddings)
    ```
     <Message type="tip">
-    Note that configuration should be similar to the one used in `embed.py` to ensure vectors will be read in the same format as the one used to create and store them.
+    Note that the configuration should be similar to the one used in `embed.py` to ensure vectors will be read in the same format as the one used to create and store them.
     </Message>