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llm4s-docs/org.llm4s/org.llm4s.llmconnect/org.llm4s.llmconnect.provider/VoyageAIEmbeddingProvider

VoyageAIEmbeddingProvider

org.llm4s.llmconnect.provider.VoyageAIEmbeddingProvider
object VoyageAIEmbeddingProvider extends EmbeddingProviderDescriptor

Embedding provider implementation for the Voyage AI embedding API.

Generates text embeddings by posting batched input to the Voyage AI /v1/embeddings endpoint. Unlike Ollama, Voyage accepts multiple inputs in a single request, so all texts are sent in one HTTP call.

Requires a valid Voyage AI API key in the provider configuration.

Voyage's entry in the embedding half of the provider SPI.

Voyage is the case that shapes the SPI: it supplies embeddings and no chat client at all, which is why org.llm4s.llmconnect.spi.EmbeddingProviderDescriptor is a separate trait rather than a method on the chat descriptor.

Attributes

See also

EmbeddingProvider for the common embedding interface

Graph
Supertypes
class Object
trait Matchable
class Any
Self type

Members list

Value members

Concrete methods

def build(config: EmbeddingProviderConfig): Result[EmbeddingProvider]

Builds the provider for the SPI; see fromConfig for the direct route.

Builds the provider for the SPI; see fromConfig for the direct route.

Attributes

def fromConfig(cfg: EmbeddingProviderConfig): EmbeddingProvider

Creates an EmbeddingProvider backed by Voyage AI using the given configuration.

Creates an EmbeddingProvider backed by Voyage AI using the given configuration.

Attributes

Concrete fields

override val aliases: Set[String]

Alternative spellings accepted in EMBEDDING_MODEL=<name>/<model>, folded onto id.

Alternative spellings accepted in EMBEDDING_MODEL=<name>/<model>, folded onto id.

Attributes

val id: ProviderId

Canonical id, e.g. ProviderId("voyage"). Must be unique among the embedding providers in a registry.

Canonical id, e.g. ProviderId("voyage"). Must be unique among the embedding providers in a registry.

Chat and embedding ids live in separate namespaces, so a provider that supplies both — OpenAI, Ollama — uses the same id for each without a clash. That is what lets EMBEDDING_MODEL=ollama/nomic-embed-text and LLM_MODEL=ollama/llama3 name the same provider.

Attributes

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