Uses of Package
org.springframework.ai.embedding

Packages that use org.springframework.ai.embedding

Package	Description
org.springframework.ai.azure.openai
org.springframework.ai.bedrock.cohere
org.springframework.ai.bedrock.titan
org.springframework.ai.chroma.vectorstore	Provides the API for embedding observations.
org.springframework.ai.embedding	Provides the API for embedding observations.
org.springframework.ai.embedding.observation	Provides the API for embedding observations.
org.springframework.ai.google.genai.text
org.springframework.ai.minimax
org.springframework.ai.mistralai
org.springframework.ai.oci
org.springframework.ai.ollama
org.springframework.ai.ollama.api
org.springframework.ai.openai
org.springframework.ai.postgresml
org.springframework.ai.transformers
org.springframework.ai.vectorstore	Provides interfaces and implementations for working with vector databases in Spring AI.
org.springframework.ai.vectorstore.azure	Provides the API for embedding observations.
org.springframework.ai.vectorstore.azure.autoconfigure
org.springframework.ai.vectorstore.cassandra	Provides the API for embedding observations.
org.springframework.ai.vectorstore.cassandra.autoconfigure
org.springframework.ai.vectorstore.chroma.autoconfigure
org.springframework.ai.vectorstore.coherence	Provides the API for embedding observations.
org.springframework.ai.vectorstore.cosmosdb	Provides the API for embedding observations.
org.springframework.ai.vectorstore.cosmosdb.autoconfigure
org.springframework.ai.vectorstore.couchbase.autoconfigure
org.springframework.ai.vectorstore.elasticsearch	Provides the API for embedding observations.
org.springframework.ai.vectorstore.gemfire	Provides the API for embedding observations.
org.springframework.ai.vectorstore.gemfire.autoconfigure
org.springframework.ai.vectorstore.hanadb	Provides the API for embedding observations.
org.springframework.ai.vectorstore.mariadb	Provides the API for embedding observations.
org.springframework.ai.vectorstore.mariadb.autoconfigure
org.springframework.ai.vectorstore.milvus	Provides the API for embedding observations.
org.springframework.ai.vectorstore.milvus.autoconfigure
org.springframework.ai.vectorstore.mongodb.atlas	Provides the API for embedding observations.
org.springframework.ai.vectorstore.neo4j	Provides the API for embedding observations.
org.springframework.ai.vectorstore.neo4j.autoconfigure
org.springframework.ai.vectorstore.observation	Provides classes for observing and storing vector data.
org.springframework.ai.vectorstore.opensearch	Provides the API for embedding observations.
org.springframework.ai.vectorstore.oracle	Provides the API for embedding observations.
org.springframework.ai.vectorstore.oracle.autoconfigure
org.springframework.ai.vectorstore.pgvector	Provides the API for embedding observations.
org.springframework.ai.vectorstore.pgvector.autoconfigure
org.springframework.ai.vectorstore.pinecone	Provides the API for embedding observations.
org.springframework.ai.vectorstore.pinecone.autoconfigure
org.springframework.ai.vectorstore.qdrant	Provides the API for embedding observations.
org.springframework.ai.vectorstore.qdrant.autoconfigure
org.springframework.ai.vectorstore.redis	Provides the API for embedding observations.
org.springframework.ai.vectorstore.redis.autoconfigure
org.springframework.ai.vectorstore.typesense	Provides the API for embedding observations.
org.springframework.ai.vectorstore.typesense.autoconfigure
org.springframework.ai.vectorstore.weaviate	Provides the API for embedding observations.
org.springframework.ai.vectorstore.weaviate.autoconfigure
org.springframework.ai.vertexai.embedding.multimodal
org.springframework.ai.vertexai.embedding.text
org.springframework.ai.zhipuai

Classes in org.springframework.ai.embedding used by org.springframework.ai.azure.openai

Class	Description
AbstractEmbeddingModel	Abstract implementation of the EmbeddingModel interface that provides dimensions calculation caching.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.
EmbeddingOptions	Options for embedding models.
EmbeddingRequest	Request to embed a list of input instructions.
EmbeddingResponse	Embedding response object.

Classes in org.springframework.ai.embedding used by org.springframework.ai.bedrock.cohere

Class	Description
AbstractEmbeddingModel	Abstract implementation of the EmbeddingModel interface that provides dimensions calculation caching.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.
EmbeddingOptions	Options for embedding models.
EmbeddingRequest	Request to embed a list of input instructions.
EmbeddingResponse	Embedding response object.

Classes in org.springframework.ai.embedding used by org.springframework.ai.bedrock.titan

Class	Description
AbstractEmbeddingModel	Abstract implementation of the EmbeddingModel interface that provides dimensions calculation caching.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.
EmbeddingOptions	Options for embedding models.
EmbeddingRequest	Request to embed a list of input instructions.
EmbeddingResponse	Embedding response object.

Classes in org.springframework.ai.embedding used by org.springframework.ai.chroma.vectorstore

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.embedding

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
DocumentEmbeddingRequest	Represents a request to embed a list of documents.
Embedding	Represents a single embedding vector.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.
EmbeddingOptions	Options for embedding models.
EmbeddingOptions.Builder
EmbeddingRequest	Request to embed a list of input instructions.
EmbeddingResponse	Embedding response object.
EmbeddingResponseMetadata	Common AI provider metadata returned in an embedding response.
EmbeddingResultMetadata	Metadata associated with the embedding result.
EmbeddingResultMetadata.ModalityType

Classes in org.springframework.ai.embedding used by org.springframework.ai.embedding.observation

Class	Description
EmbeddingRequest	Request to embed a list of input instructions.

Classes in org.springframework.ai.embedding used by org.springframework.ai.google.genai.text

Class	Description
AbstractEmbeddingModel	Abstract implementation of the EmbeddingModel interface that provides dimensions calculation caching.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.
EmbeddingOptions	Options for embedding models.
EmbeddingRequest	Request to embed a list of input instructions.
EmbeddingResponse	Embedding response object.

Classes in org.springframework.ai.embedding used by org.springframework.ai.minimax

Class	Description
AbstractEmbeddingModel	Abstract implementation of the EmbeddingModel interface that provides dimensions calculation caching.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.
EmbeddingOptions	Options for embedding models.
EmbeddingRequest	Request to embed a list of input instructions.
EmbeddingResponse	Embedding response object.

Classes in org.springframework.ai.embedding used by org.springframework.ai.mistralai

Class	Description
AbstractEmbeddingModel	Abstract implementation of the EmbeddingModel interface that provides dimensions calculation caching.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.
EmbeddingOptions	Options for embedding models.
EmbeddingRequest	Request to embed a list of input instructions.
EmbeddingResponse	Embedding response object.

Classes in org.springframework.ai.embedding used by org.springframework.ai.oci

Class	Description
AbstractEmbeddingModel	Abstract implementation of the EmbeddingModel interface that provides dimensions calculation caching.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.
EmbeddingOptions	Options for embedding models.
EmbeddingRequest	Request to embed a list of input instructions.
EmbeddingResponse	Embedding response object.

Classes in org.springframework.ai.embedding used by org.springframework.ai.ollama

Class	Description
AbstractEmbeddingModel	Abstract implementation of the EmbeddingModel interface that provides dimensions calculation caching.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.
EmbeddingRequest	Request to embed a list of input instructions.
EmbeddingResponse	Embedding response object.

Classes in org.springframework.ai.embedding used by org.springframework.ai.ollama.api

Class	Description
EmbeddingOptions	Options for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.openai

Class	Description
AbstractEmbeddingModel	Abstract implementation of the EmbeddingModel interface that provides dimensions calculation caching.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.
EmbeddingOptions	Options for embedding models.
EmbeddingRequest	Request to embed a list of input instructions.
EmbeddingResponse	Embedding response object.

Classes in org.springframework.ai.embedding used by org.springframework.ai.postgresml

Class	Description
AbstractEmbeddingModel	Abstract implementation of the EmbeddingModel interface that provides dimensions calculation caching.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.
EmbeddingOptions	Options for embedding models.
EmbeddingRequest	Request to embed a list of input instructions.
EmbeddingResponse	Embedding response object.

Classes in org.springframework.ai.embedding used by org.springframework.ai.transformers

Class	Description
AbstractEmbeddingModel	Abstract implementation of the EmbeddingModel interface that provides dimensions calculation caching.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.
EmbeddingRequest	Request to embed a list of input instructions.
EmbeddingResponse	Embedding response object.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.azure

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.azure.autoconfigure

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.cassandra

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.cassandra.autoconfigure

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.chroma.autoconfigure

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.coherence

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.cosmosdb

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.cosmosdb.autoconfigure

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.couchbase.autoconfigure

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.elasticsearch

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.gemfire

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.gemfire.autoconfigure

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.hanadb

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.mariadb

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.mariadb.autoconfigure

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.milvus

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.milvus.autoconfigure

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.mongodb.atlas

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.neo4j

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.neo4j.autoconfigure

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.observation

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.opensearch

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.oracle

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.oracle.autoconfigure

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.pgvector

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.pgvector.autoconfigure

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.pinecone

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.pinecone.autoconfigure

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.qdrant

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.qdrant.autoconfigure

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.redis

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.redis.autoconfigure

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.typesense

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.typesense.autoconfigure

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.weaviate

Class	Description
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vectorstore.weaviate.autoconfigure

Class	Description
BatchingStrategy	Contract for batching Document objects so that the call to embed them could be optimized.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vertexai.embedding.multimodal

Class	Description
DocumentEmbeddingModel	EmbeddingModel is a generic interface for embedding models.
DocumentEmbeddingRequest	Represents a request to embed a list of documents.
EmbeddingOptions	Options for embedding models.
EmbeddingResponse	Embedding response object.

Classes in org.springframework.ai.embedding used by org.springframework.ai.vertexai.embedding.text

Class	Description
AbstractEmbeddingModel	Abstract implementation of the EmbeddingModel interface that provides dimensions calculation caching.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.
EmbeddingOptions	Options for embedding models.
EmbeddingRequest	Request to embed a list of input instructions.
EmbeddingResponse	Embedding response object.

Classes in org.springframework.ai.embedding used by org.springframework.ai.zhipuai

Class	Description
AbstractEmbeddingModel	Abstract implementation of the EmbeddingModel interface that provides dimensions calculation caching.
EmbeddingModel	EmbeddingModel is a generic interface for embedding models.
EmbeddingOptions	Options for embedding models.
EmbeddingRequest	Request to embed a list of input instructions.
EmbeddingResponse	Embedding response object.