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refactor: update default Gemini and Vertex AI embedder model to gemini-embedding-001 (#4571)

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Kartik
2026-03-28 20:39:27 +05:30
committed by GitHub
parent ece654811a
commit cd2dd7cc54
5 changed files with 11 additions and 11 deletions
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docs/components/embedders/models/google_AI.mdx
+2 -2
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@@ -19,7 +19,7 @@ config = {
"embedder": {
"provider": "gemini",
"config": {
"model": "models/text-embedding-004",
"model": "models/gemini-embedding-001",
}
}
}
@@ -66,7 +66,7 @@ Here are the parameters available for configuring Gemini embedder:
<Tab title="Python">
| Parameter | Description | Default Value |
| ---------------- | ------------------------------------ | ----------------------- |
| `model` | The name of the embedding model to use| `models/text-embedding-004` |
| `model` | The name of the embedding model to use| `models/gemini-embedding-001` |
| `embedding_dims` | Dimensions of the embedding model | `1536` |
| `api_key` | The Google API key | `None` |
</Tab>
docs/components/embedders/models/vertexai.mdx
+2 -2
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@@ -20,7 +20,7 @@ config = {
"embedder": {
"provider": "vertexai",
"config": {
"model": "text-embedding-004",
"model": "gemini-embedding-001",
"memory_add_embedding_type": "RETRIEVAL_DOCUMENT",
"memory_update_embedding_type": "RETRIEVAL_DOCUMENT",
"memory_search_embedding_type": "RETRIEVAL_QUERY"
@@ -51,7 +51,7 @@ Here are the parameters available for configuring the Vertex AI embedder:
| Parameter | Description | Default Value |
| ------------------------- | ------------------------------------------------ | -------------------- |
| `model` | The name of the Vertex AI embedding model to use | `text-embedding-004` |
| `model` | The name of the Vertex AI embedding model to use | `gemini-embedding-001` |
| `vertex_credentials_json` | Path to the Google Cloud credentials JSON file | `None` |
| `embedding_dims` | Dimensions of the embedding model | `256` |
| `memory_add_embedding_type` | The type of embedding to use for the add memory action | `RETRIEVAL_DOCUMENT` |