Connection String to Hugging Face
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This article explains how to define a connection string to the Hugging Face's text embedding services,
enabling RavenDB to seamlessly integrate its embeddings generation tasks within your environment. -
In this article:
Define the connection string - from the Studio

Define a connection string to Hugging Face
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Name
Enter a name for this connection string. -
Identifier (optional)
Learn more about the identifier in the connection string identifier section. -
Connector
Select Hugging Face from the dropdown menu. -
API key
Enter the API key used to authenticate requests to Hugging Face's text embedding services. -
Endpoint (optional)
Select or enter the Hugging Face endpoint for generating embeddings from text.
If not specified, the default endpoint is used.
(https://api-inference.huggingface.co/
) -
Model
Specify the Hugging Face text embedding model to use. -
Max concurrent query batches: (optional)
- When making vector search queries, the content of the search terms must also be converted to embeddings to compare them against the stored vectors. Requests to generate such query embeddings via the AI provider are sent in batches.
- This parameter defines the maximum number of these batches that can be processed concurrently.
You can set a default value using the Ai.Embeddings.MaxConcurrentBatches configuration key.
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Click Test Connection to confirm the connection string is set up correctly.
-
Click Save to store the connection string or Cancel to discard changes.
Define the connection string - from the Client API
using (var store = new DocumentStore())
{
// Define the connection string to Hugging Face
var connectionString = new AiConnectionString
{
// Connection string name & identifier
Name = "ConnectionStringToHuggingFace",
Identifier = "identifier-to-the-connection-string", // optional
// Hugging Face connection settings
HuggingFaceSettings = new HuggingFaceSettings(
apiKey: "your-api-key",
endpoint: "https://api-inference.huggingface.co/",
model: "sentence-transformers/all-MiniLM-L6-v2")
};
// Optionally, override the default maximum number of query embedding batches
// that can be processed concurrently
connectionString.HuggingFaceSettings.EmbeddingsMaxConcurrentBatches = 10;
// Deploy the connection string to the server
var operation = new PutConnectionStringOperation<AiConnectionString>(connectionString);
var putConnectionStringResult = store.Maintenance.Send(operation);
}
Syntax
public class AiConnectionString
{
public string Name { get; set; }
public string Identifier { get; set; }
public HuggingFaceSettings HuggingFaceSettings { get; set; }
}
public class HuggingFaceSettings : AbstractAiSettings
{
public string ApiKey { get; set; }
public string Endpoint { get; set; }
public string Model { get; set; }
}
public class AbstractAiSettings
{
public int? EmbeddingsMaxConcurrentBatches { get; set; }
}