Change Vertex AI default embedding model (#625)

Author: Paul-Cornell

ingestion/how-to/embedding.mdx

@@ -71,7 +71,7 @@ To use the Ingest CLI or Ingest Python library to generate embeddings, do the fo
    - `octoai`. [Choose a model](https://octo.ai/blog/supercharge-rag-performance-using-octoai-and-unstructured-embeddings/), or use the default model `thenlper/gte-large`.
    - `openai`. [Choose a model](https://platform.openai.com/docs/guides/embeddings/embedding-models), or use the default model `text-embedding-ada-002`.
    - `togetherai`. [Choose a model](https://docs.together.ai/docs/embedding-models), or use the default model `togethercomputer/m2-bert-80M-8k-retrieval`.
-   - `vertexai`. [Choose a model](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api), or use the default model `textembedding-gecko@001`.
+   - `vertexai`. [Choose a model](https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api), or use the default model `text-embedding-05`.
    - `voyageai`.  [Choose a model](https://docs.voyageai.com/docs/embeddings). No default model is provided.
 
 4. Note the special settings to connect to the provider:

snippets/ingest-configuration-shared/embedding-configuration.mdx

@@ -30,6 +30,6 @@ The default `embedding_model_name` values unless otherwise specified are:
 
 * `togetherai`: `togethercomputer/m2-bert-80M-8k-retrieval`, with 768 dimensions
 
-* `vertexai`: `textembedding-gecko@001`, with 768 dimensions
+* `vertexai`: `text-embedding-05`, with 768 dimensions
 
 * `voyageai`: None