embedding_litellm()

Use LiteLLM to access 100+ embedding providers with a unified interface

Use LiteLLM to generate embeddings from models across multiple providers with a unified interface. LiteLLM supports OpenAI, Azure, AWS Bedrock, Google Vertex AI, Hugging Face, and 100+ other providers.

You use this function to:

• Define the embedding model to use (from any supported provider)
• Specify the dimensionality of the embeddings
• Configure optional, provider-specific parameters
• Set the name of the environment variable that holds your API key

Samples

Hugging Face model

SELECT ai.create_vectorizer(
    'code_snippets'::regclass,
    loading => ai.loading_column('code'),
    embedding => ai.embedding_litellm(
        'huggingface/microsoft/codebert-base',
        768,
        api_key_name => 'HUGGINGFACE_API_KEY',
        extra_options => '{"wait_for_model": true}'::jsonb
    ),
    chunking => ai.chunking_character_text_splitter(512)
);

Azure OpenAI

SELECT ai.create_vectorizer(
    'documents'::regclass,
    loading => ai.loading_column('content'),
    embedding => ai.embedding_litellm(
        'azure/my-embedding-deployment',
        1536,
        api_key_name => 'AZURE_API_KEY',
        extra_options => '{
            "api_base": "https://my-resource.openai.azure.com/",
            "api_version": "2023-05-15"
        }'::jsonb
    ),
    chunking => ai.chunking_character_text_splitter(512)
);

AWS Bedrock

SELECT ai.create_vectorizer(
    'text_data'::regclass,
    loading => ai.loading_column('text'),
    embedding => ai.embedding_litellm(
        'bedrock/amazon.titan-embed-text-v1',
        1536,
        extra_options => '{
            "aws_region_name": "us-east-1"
        }'::jsonb
    ),
    chunking => ai.chunking_character_text_splitter(512)
);

Arguments

Name	Type	Default	Required	Description
model	text	-	✔	Name of the embedding model with optional provider prefix (e.g., huggingface/model-name, azure/deployment-name)
dimensions	int	-	✔	Number of dimensions for the embedding vectors
api_key_name	text	-	✖	Name of the environment variable containing the API key
extra_options	jsonb	-	✖	Provider-specific configuration options (API base URL, region, etc.)

Returns

A JSON configuration object for use in create_vectorizer().

Supported providers

LiteLLM supports 100+ providers including:

• OpenAI and Azure OpenAI
• AWS Bedrock
• Google Vertex AI
• Hugging Face
• Cohere
• Anthropic
• And many more

See the LiteLLM documentation for the complete list.

Related functions

• embedding_openai(): direct OpenAI integration
• embedding_ollama(): local Ollama models
• embedding_voyageai(): Voyage AI models