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Doc: Update embeddings config page (#2276)

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Dev Khant
2025-02-28 21:43:00 +05:30
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commit d9b48191de
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docs/components/embedders/config.mdx
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@@ -47,15 +47,15 @@ Config is essential for:
Here's a comprehensive list of all parameters that can be used across different embedders:
| Parameter | Description |
|-----------|-------------|
| `model` | Embedding model to use |
| `api_key` | API key of the provider |
| `embedding_dims` | Dimensions of the embedding model |
| `http_client_proxies` | Allow proxy server settings |
| `ollama_base_url` | Base URL for the Ollama embedding model |
| `model_kwargs` | Key-Value arguments for the Huggingface embedding model |
| `azure_kwargs` | Key-Value arguments for the AzureOpenAI embedding model |
| Parameter | Description | Provider |
|-----------|-------------|----------|
| `model` | Embedding model to use | All |
| `api_key` | API key of the provider | All |
| `embedding_dims` | Dimensions of the embedding model | All |
| `http_client_proxies` | Allow proxy server settings | All |
| `ollama_base_url` | Base URL for the Ollama embedding model | Ollama |
| `model_kwargs` | Key-Value arguments for the Huggingface embedding model | Huggingface |
| `azure_kwargs` | Key-Value arguments for the AzureOpenAI embedding model | Azure OpenAI |
| `openai_base_url` | Base URL for OpenAI API | OpenAI |
| `vertex_credentials_json` | Path to the Google Cloud credentials JSON file for VertexAI | VertexAI |
| `memory_add_embedding_type` | The type of embedding to use for the add memory action | VertexAI |