Uses of Interface
org.springframework.ai.embedding.EmbeddingModel

Packages that use EmbeddingModel

Package	Description
org.springframework.ai.autoconfigure.vectorstore.azure
org.springframework.ai.autoconfigure.vectorstore.cassandra
org.springframework.ai.autoconfigure.vectorstore.chroma
org.springframework.ai.autoconfigure.vectorstore.gemfire
org.springframework.ai.autoconfigure.vectorstore.hanadb
org.springframework.ai.autoconfigure.vectorstore.milvus
org.springframework.ai.autoconfigure.vectorstore.neo4j
org.springframework.ai.autoconfigure.vectorstore.oracle
org.springframework.ai.autoconfigure.vectorstore.pgvector
org.springframework.ai.autoconfigure.vectorstore.pinecone
org.springframework.ai.autoconfigure.vectorstore.qdrant
org.springframework.ai.autoconfigure.vectorstore.redis
org.springframework.ai.autoconfigure.vectorstore.typesense
org.springframework.ai.autoconfigure.vectorstore.weaviate
org.springframework.ai.azure.openai
org.springframework.ai.bedrock.cohere
org.springframework.ai.bedrock.titan
org.springframework.ai.embedding
org.springframework.ai.minimax
org.springframework.ai.mistralai
org.springframework.ai.oci
org.springframework.ai.ollama
org.springframework.ai.openai
org.springframework.ai.postgresml
org.springframework.ai.qianfan
org.springframework.ai.transformers
org.springframework.ai.vectorstore
org.springframework.ai.vectorstore.azure
org.springframework.ai.vectorstore.qdrant
org.springframework.ai.vertexai.embedding.text
org.springframework.ai.vertexai.palm2
org.springframework.ai.watsonx
org.springframework.ai.zhipuai

Uses of EmbeddingModel in org.springframework.ai.autoconfigure.vectorstore.azure

Methods in org.springframework.ai.autoconfigure.vectorstore.azure with parameters of type EmbeddingModel

Modifier and Type	Method	Description
AzureVectorStore	AzureVectorStoreAutoConfiguration.vectorStore(com.azure.search.documents.indexes.SearchIndexClient searchIndexClient, EmbeddingModel embeddingModel, AzureVectorStoreProperties properties, org.springframework.beans.factory.ObjectProvider<io.micrometer.observation.ObservationRegistry> observationRegistry, org.springframework.beans.factory.ObjectProvider<VectorStoreObservationConvention> customObservationConvention, BatchingStrategy batchingStrategy)

Uses of EmbeddingModel in org.springframework.ai.autoconfigure.vectorstore.cassandra

Methods in org.springframework.ai.autoconfigure.vectorstore.cassandra with parameters of type EmbeddingModel

Modifier and Type	Method	Description
CassandraVectorStore	CassandraVectorStoreAutoConfiguration.vectorStore(EmbeddingModel embeddingModel, CassandraVectorStoreProperties properties, com.datastax.oss.driver.api.core.CqlSession cqlSession, org.springframework.beans.factory.ObjectProvider<io.micrometer.observation.ObservationRegistry> observationRegistry, org.springframework.beans.factory.ObjectProvider<VectorStoreObservationConvention> customObservationConvention, BatchingStrategy batchingStrategy)

Uses of EmbeddingModel in org.springframework.ai.autoconfigure.vectorstore.chroma

Methods in org.springframework.ai.autoconfigure.vectorstore.chroma with parameters of type EmbeddingModel

Modifier and Type	Method	Description
ChromaVectorStore	ChromaVectorStoreAutoConfiguration.vectorStore(EmbeddingModel embeddingModel, ChromaApi chromaApi, ChromaVectorStoreProperties storeProperties, org.springframework.beans.factory.ObjectProvider<io.micrometer.observation.ObservationRegistry> observationRegistry, org.springframework.beans.factory.ObjectProvider<VectorStoreObservationConvention> customObservationConvention, BatchingStrategy chromaBatchingStrategy)

Uses of EmbeddingModel in org.springframework.ai.autoconfigure.vectorstore.gemfire

Methods in org.springframework.ai.autoconfigure.vectorstore.gemfire with parameters of type EmbeddingModel

Modifier and Type	Method	Description
GemFireVectorStore	GemFireVectorStoreAutoConfiguration.gemfireVectorStore(EmbeddingModel embeddingModel, GemFireVectorStoreProperties properties, GemFireConnectionDetails gemFireConnectionDetails, org.springframework.beans.factory.ObjectProvider<io.micrometer.observation.ObservationRegistry> observationRegistry, org.springframework.beans.factory.ObjectProvider<VectorStoreObservationConvention> customObservationConvention, BatchingStrategy batchingStrategy)

Uses of EmbeddingModel in org.springframework.ai.autoconfigure.vectorstore.hanadb

Methods in org.springframework.ai.autoconfigure.vectorstore.hanadb with parameters of type EmbeddingModel

Modifier and Type	Method	Description
HanaCloudVectorStore	HanaCloudVectorStoreAutoConfiguration.vectorStore(HanaVectorRepository<? extends HanaVectorEntity> repository, EmbeddingModel embeddingModel, HanaCloudVectorStoreProperties properties, org.springframework.beans.factory.ObjectProvider<io.micrometer.observation.ObservationRegistry> observationRegistry, org.springframework.beans.factory.ObjectProvider<VectorStoreObservationConvention> customObservationConvention)

Uses of EmbeddingModel in org.springframework.ai.autoconfigure.vectorstore.milvus

Methods in org.springframework.ai.autoconfigure.vectorstore.milvus with parameters of type EmbeddingModel

Modifier and Type	Method	Description
MilvusVectorStore	MilvusVectorStoreAutoConfiguration.vectorStore(io.milvus.client.MilvusServiceClient milvusClient, EmbeddingModel embeddingModel, MilvusVectorStoreProperties properties, BatchingStrategy batchingStrategy, org.springframework.beans.factory.ObjectProvider<io.micrometer.observation.ObservationRegistry> observationRegistry, org.springframework.beans.factory.ObjectProvider<VectorStoreObservationConvention> customObservationConvention)

Uses of EmbeddingModel in org.springframework.ai.autoconfigure.vectorstore.neo4j

Methods in org.springframework.ai.autoconfigure.vectorstore.neo4j with parameters of type EmbeddingModel

Modifier and Type	Method	Description
Neo4jVectorStore	Neo4jVectorStoreAutoConfiguration.vectorStore(org.neo4j.driver.Driver driver, EmbeddingModel embeddingModel, Neo4jVectorStoreProperties properties, org.springframework.beans.factory.ObjectProvider<io.micrometer.observation.ObservationRegistry> observationRegistry, org.springframework.beans.factory.ObjectProvider<VectorStoreObservationConvention> customObservationConvention, BatchingStrategy batchingStrategy)

Uses of EmbeddingModel in org.springframework.ai.autoconfigure.vectorstore.oracle

Methods in org.springframework.ai.autoconfigure.vectorstore.oracle with parameters of type EmbeddingModel

Modifier and Type	Method	Description
OracleVectorStore	OracleVectorStoreAutoConfiguration.vectorStore(org.springframework.jdbc.core.JdbcTemplate jdbcTemplate, EmbeddingModel embeddingModel, OracleVectorStoreProperties properties, org.springframework.beans.factory.ObjectProvider<io.micrometer.observation.ObservationRegistry> observationRegistry, org.springframework.beans.factory.ObjectProvider<VectorStoreObservationConvention> customObservationConvention, BatchingStrategy batchingStrategy)

Uses of EmbeddingModel in org.springframework.ai.autoconfigure.vectorstore.pgvector

Methods in org.springframework.ai.autoconfigure.vectorstore.pgvector with parameters of type EmbeddingModel

Modifier and Type	Method	Description
PgVectorStore	PgVectorStoreAutoConfiguration.vectorStore(org.springframework.jdbc.core.JdbcTemplate jdbcTemplate, EmbeddingModel embeddingModel, PgVectorStoreProperties properties, org.springframework.beans.factory.ObjectProvider<io.micrometer.observation.ObservationRegistry> observationRegistry, org.springframework.beans.factory.ObjectProvider<VectorStoreObservationConvention> customObservationConvention, BatchingStrategy batchingStrategy)

Uses of EmbeddingModel in org.springframework.ai.autoconfigure.vectorstore.pinecone

Methods in org.springframework.ai.autoconfigure.vectorstore.pinecone with parameters of type EmbeddingModel

Modifier and Type	Method	Description
PineconeVectorStore	PineconeVectorStoreAutoConfiguration.vectorStore(EmbeddingModel embeddingModel, PineconeVectorStoreProperties properties, org.springframework.beans.factory.ObjectProvider<io.micrometer.observation.ObservationRegistry> observationRegistry, org.springframework.beans.factory.ObjectProvider<VectorStoreObservationConvention> customObservationConvention, BatchingStrategy batchingStrategy)

Uses of EmbeddingModel in org.springframework.ai.autoconfigure.vectorstore.qdrant

Methods in org.springframework.ai.autoconfigure.vectorstore.qdrant with parameters of type EmbeddingModel

Modifier and Type	Method	Description
QdrantVectorStore	QdrantVectorStoreAutoConfiguration.vectorStore(EmbeddingModel embeddingModel, QdrantVectorStoreProperties properties, io.qdrant.client.QdrantClient qdrantClient, org.springframework.beans.factory.ObjectProvider<io.micrometer.observation.ObservationRegistry> observationRegistry, org.springframework.beans.factory.ObjectProvider<VectorStoreObservationConvention> customObservationConvention, BatchingStrategy batchingStrategy)

Uses of EmbeddingModel in org.springframework.ai.autoconfigure.vectorstore.redis

Methods in org.springframework.ai.autoconfigure.vectorstore.redis with parameters of type EmbeddingModel

Modifier and Type	Method	Description
RedisVectorStore	RedisVectorStoreAutoConfiguration.vectorStore(EmbeddingModel embeddingModel, RedisVectorStoreProperties properties, org.springframework.data.redis.connection.jedis.JedisConnectionFactory jedisConnectionFactory, org.springframework.beans.factory.ObjectProvider<io.micrometer.observation.ObservationRegistry> observationRegistry, org.springframework.beans.factory.ObjectProvider<VectorStoreObservationConvention> customObservationConvention, BatchingStrategy batchingStrategy)

Uses of EmbeddingModel in org.springframework.ai.autoconfigure.vectorstore.typesense

Methods in org.springframework.ai.autoconfigure.vectorstore.typesense with parameters of type EmbeddingModel

Modifier and Type	Method	Description
TypesenseVectorStore	TypesenseVectorStoreAutoConfiguration.vectorStore(org.typesense.api.Client typesenseClient, EmbeddingModel embeddingModel, TypesenseVectorStoreProperties properties, org.springframework.beans.factory.ObjectProvider<io.micrometer.observation.ObservationRegistry> observationRegistry, org.springframework.beans.factory.ObjectProvider<VectorStoreObservationConvention> customObservationConvention, BatchingStrategy batchingStrategy)

Uses of EmbeddingModel in org.springframework.ai.autoconfigure.vectorstore.weaviate

Methods in org.springframework.ai.autoconfigure.vectorstore.weaviate with parameters of type EmbeddingModel

Modifier and Type	Method	Description
WeaviateVectorStore	WeaviateVectorStoreAutoConfiguration.vectorStore(EmbeddingModel embeddingModel, io.weaviate.client.WeaviateClient weaviateClient, WeaviateVectorStoreProperties properties, org.springframework.beans.factory.ObjectProvider<io.micrometer.observation.ObservationRegistry> observationRegistry, org.springframework.beans.factory.ObjectProvider<VectorStoreObservationConvention> customObservationConvention, BatchingStrategy batchingStrategy)

Uses of EmbeddingModel in org.springframework.ai.azure.openai

Classes in org.springframework.ai.azure.openai that implement EmbeddingModel

Modifier and Type	Class	Description
class	AzureOpenAiEmbeddingModel	Azure Open AI Embedding Model implementation.

Uses of EmbeddingModel in org.springframework.ai.bedrock.cohere

Classes in org.springframework.ai.bedrock.cohere that implement EmbeddingModel

Modifier and Type	Class	Description
class	BedrockCohereEmbeddingModel	EmbeddingModel implementation that uses the Bedrock Cohere Embedding API.

Uses of EmbeddingModel in org.springframework.ai.bedrock.titan

Classes in org.springframework.ai.bedrock.titan that implement EmbeddingModel

Modifier and Type	Class	Description
class	BedrockTitanEmbeddingModel	EmbeddingModel implementation that uses the Bedrock Titan Embedding API.

Uses of EmbeddingModel in org.springframework.ai.embedding

Classes in org.springframework.ai.embedding that implement EmbeddingModel

Modifier and Type	Class	Description
class	AbstractEmbeddingModel	Abstract implementation of the EmbeddingModel interface that provides dimensions calculation caching.

Methods in org.springframework.ai.embedding with parameters of type EmbeddingModel

Modifier and Type	Method	Description
static int	AbstractEmbeddingModel.dimensions(EmbeddingModel embeddingModel, String modelName, String dummyContent)	Return the dimension of the requested embedding generative name.

Uses of EmbeddingModel in org.springframework.ai.minimax

Classes in org.springframework.ai.minimax that implement EmbeddingModel

Modifier and Type	Class	Description
class	MiniMaxEmbeddingModel	MiniMax Embedding Model implementation.

Uses of EmbeddingModel in org.springframework.ai.mistralai

Classes in org.springframework.ai.mistralai that implement EmbeddingModel

Modifier and Type	Class	Description
class	MistralAiEmbeddingModel	Provides the Mistral AI Embedding Model.

Uses of EmbeddingModel in org.springframework.ai.oci

Classes in org.springframework.ai.oci that implement EmbeddingModel

Modifier and Type	Class	Description
class	OCIEmbeddingModel	EmbeddingModel implementation that uses the OCI GenAI Embedding API.

Uses of EmbeddingModel in org.springframework.ai.ollama

Classes in org.springframework.ai.ollama that implement EmbeddingModel

Modifier and Type	Class	Description
class	OllamaEmbeddingModel	EmbeddingModel implementation for Ollama.

Uses of EmbeddingModel in org.springframework.ai.openai

Classes in org.springframework.ai.openai that implement EmbeddingModel

Modifier and Type	Class	Description
class	OpenAiEmbeddingModel	Open AI Embedding Model implementation.

Uses of EmbeddingModel in org.springframework.ai.postgresml

Classes in org.springframework.ai.postgresml that implement EmbeddingModel

Modifier and Type	Class	Description
class	PostgresMlEmbeddingModel	PostgresML EmbeddingModel

Uses of EmbeddingModel in org.springframework.ai.qianfan

Classes in org.springframework.ai.qianfan that implement EmbeddingModel

Modifier and Type	Class	Description
class	QianFanEmbeddingModel	QianFan Embedding Client implementation.

Uses of EmbeddingModel in org.springframework.ai.transformers

Classes in org.springframework.ai.transformers that implement EmbeddingModel

Modifier and Type	Class	Description
class	TransformersEmbeddingModel	An implementation of the AbstractEmbeddingModel that uses ONNX-based Transformer models for text embeddings.

Uses of EmbeddingModel in org.springframework.ai.vectorstore

Fields in org.springframework.ai.vectorstore declared as EmbeddingModel

Modifier and Type	Field	Description
protected EmbeddingModel	SimpleVectorStore.embeddingModel

Constructors in org.springframework.ai.vectorstore with parameters of type EmbeddingModel

Modifier	Constructor	Description
	Builder(org.springframework.jdbc.core.JdbcTemplate jdbcTemplate, EmbeddingModel embeddingModel)
	CassandraVectorStore(CassandraVectorStoreConfig conf, EmbeddingModel embeddingModel)
	CassandraVectorStore(CassandraVectorStoreConfig conf, EmbeddingModel embeddingModel, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention, BatchingStrategy batchingStrategy)
	ChromaVectorStore(EmbeddingModel embeddingModel, ChromaApi chromaApi, boolean initializeSchema)
	ChromaVectorStore(EmbeddingModel embeddingModel, ChromaApi chromaApi, String collectionName, boolean initializeSchema)
	ChromaVectorStore(EmbeddingModel embeddingModel, ChromaApi chromaApi, String collectionName, boolean initializeSchema, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention, BatchingStrategy batchingStrategy)
	ElasticsearchVectorStore(org.elasticsearch.client.RestClient restClient, EmbeddingModel embeddingModel, boolean initializeSchema)
	ElasticsearchVectorStore(ElasticsearchVectorStoreOptions options, org.elasticsearch.client.RestClient restClient, EmbeddingModel embeddingModel, boolean initializeSchema)
	ElasticsearchVectorStore(ElasticsearchVectorStoreOptions options, org.elasticsearch.client.RestClient restClient, EmbeddingModel embeddingModel, boolean initializeSchema, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention, BatchingStrategy batchingStrategy)
	GemFireVectorStore(GemFireVectorStore.GemFireVectorStoreConfig config, EmbeddingModel embeddingModel, boolean initializeSchema)	Configures and initializes a GemFireVectorStore instance based on the provided configuration.
	GemFireVectorStore(GemFireVectorStore.GemFireVectorStoreConfig config, EmbeddingModel embeddingModel, boolean initializeSchema, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention, BatchingStrategy batchingStrategy)	Configures and initializes a GemFireVectorStore instance based on the provided configuration.
	HanaCloudVectorStore(HanaVectorRepository<? extends HanaVectorEntity> repository, EmbeddingModel embeddingModel, HanaCloudVectorStoreConfig config)
	HanaCloudVectorStore(HanaVectorRepository<? extends HanaVectorEntity> repository, EmbeddingModel embeddingModel, HanaCloudVectorStoreConfig config, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention)
	MilvusVectorStore(io.milvus.client.MilvusServiceClient milvusClient, EmbeddingModel embeddingModel, boolean initializeSchema)
	MilvusVectorStore(io.milvus.client.MilvusServiceClient milvusClient, EmbeddingModel embeddingModel, boolean initializeSchema, BatchingStrategy batchingStrategy)
	MilvusVectorStore(io.milvus.client.MilvusServiceClient milvusClient, EmbeddingModel embeddingModel, MilvusVectorStore.MilvusVectorStoreConfig config, boolean initializeSchema, BatchingStrategy batchingStrategy)
	MilvusVectorStore(io.milvus.client.MilvusServiceClient milvusClient, EmbeddingModel embeddingModel, MilvusVectorStore.MilvusVectorStoreConfig config, boolean initializeSchema, BatchingStrategy batchingStrategy, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention)
	MongoDBAtlasVectorStore(org.springframework.data.mongodb.core.MongoTemplate mongoTemplate, EmbeddingModel embeddingModel, boolean initializeSchema)
	MongoDBAtlasVectorStore(org.springframework.data.mongodb.core.MongoTemplate mongoTemplate, EmbeddingModel embeddingModel, MongoDBAtlasVectorStore.MongoDBVectorStoreConfig config, boolean initializeSchema)
	MongoDBAtlasVectorStore(org.springframework.data.mongodb.core.MongoTemplate mongoTemplate, EmbeddingModel embeddingModel, MongoDBAtlasVectorStore.MongoDBVectorStoreConfig config, boolean initializeSchema, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention, BatchingStrategy batchingStrategy)
	Neo4jVectorStore(org.neo4j.driver.Driver driver, EmbeddingModel embeddingModel, Neo4jVectorStore.Neo4jVectorStoreConfig config, boolean initializeSchema)
	Neo4jVectorStore(org.neo4j.driver.Driver driver, EmbeddingModel embeddingModel, Neo4jVectorStore.Neo4jVectorStoreConfig config, boolean initializeSchema, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention, BatchingStrategy batchingStrategy)
	OpenSearchVectorStore(String index, org.opensearch.client.opensearch.OpenSearchClient openSearchClient, EmbeddingModel embeddingModel, String mappingJson, boolean initializeSchema)
	OpenSearchVectorStore(String index, org.opensearch.client.opensearch.OpenSearchClient openSearchClient, EmbeddingModel embeddingModel, String mappingJson, boolean initializeSchema, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention, BatchingStrategy batchingStrategy)
	OpenSearchVectorStore(org.opensearch.client.opensearch.OpenSearchClient openSearchClient, EmbeddingModel embeddingModel, boolean initializeSchema)
	OpenSearchVectorStore(org.opensearch.client.opensearch.OpenSearchClient openSearchClient, EmbeddingModel embeddingModel, String mappingJson, boolean initializeSchema)
	OracleVectorStore(org.springframework.jdbc.core.JdbcTemplate jdbcTemplate, EmbeddingModel embeddingModel)
	OracleVectorStore(org.springframework.jdbc.core.JdbcTemplate jdbcTemplate, EmbeddingModel embeddingModel, boolean initializeSchema)
	OracleVectorStore(org.springframework.jdbc.core.JdbcTemplate jdbcTemplate, EmbeddingModel embeddingModel, String tableName, OracleVectorStore.OracleVectorStoreIndexType indexType, OracleVectorStore.OracleVectorStoreDistanceType distanceType, int dimensions, int searchAccuracy, boolean initializeSchema, boolean removeExistingVectorStoreTable, boolean forcedNormalization)
	OracleVectorStore(org.springframework.jdbc.core.JdbcTemplate jdbcTemplate, EmbeddingModel embeddingModel, String tableName, OracleVectorStore.OracleVectorStoreIndexType indexType, OracleVectorStore.OracleVectorStoreDistanceType distanceType, int dimensions, int searchAccuracy, boolean initializeSchema, boolean removeExistingVectorStoreTable, boolean forcedNormalization, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention, BatchingStrategy batchingStrategy)
	PgVectorStore(String vectorTableName, org.springframework.jdbc.core.JdbcTemplate jdbcTemplate, EmbeddingModel embeddingModel, int dimensions, PgVectorStore.PgDistanceType distanceType, boolean removeExistingVectorStoreTable, PgVectorStore.PgIndexType createIndexMethod, boolean initializeSchema)
	PgVectorStore(org.springframework.jdbc.core.JdbcTemplate jdbcTemplate, EmbeddingModel embeddingModel)
	PgVectorStore(org.springframework.jdbc.core.JdbcTemplate jdbcTemplate, EmbeddingModel embeddingModel, int dimensions)
	PgVectorStore(org.springframework.jdbc.core.JdbcTemplate jdbcTemplate, EmbeddingModel embeddingModel, int dimensions, PgVectorStore.PgDistanceType distanceType, boolean removeExistingVectorStoreTable, PgVectorStore.PgIndexType createIndexMethod, boolean initializeSchema)
	PineconeVectorStore(PineconeVectorStore.PineconeVectorStoreConfig config, EmbeddingModel embeddingModel)	Constructs a new PineconeVectorStore.
	PineconeVectorStore(PineconeVectorStore.PineconeVectorStoreConfig config, EmbeddingModel embeddingModel, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention, BatchingStrategy batchingStrategy)	Constructs a new PineconeVectorStore.
	RedisVectorStore(RedisVectorStore.RedisVectorStoreConfig config, EmbeddingModel embeddingModel, redis.clients.jedis.JedisPooled jedis, boolean initializeSchema)
	RedisVectorStore(RedisVectorStore.RedisVectorStoreConfig config, EmbeddingModel embeddingModel, redis.clients.jedis.JedisPooled jedis, boolean initializeSchema, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention, BatchingStrategy batchingStrategy)
	SimpleVectorStore(EmbeddingModel embeddingModel)
	SimpleVectorStore(EmbeddingModel embeddingModel, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention)
	TypesenseVectorStore(org.typesense.api.Client client, EmbeddingModel embeddingModel)
	TypesenseVectorStore(org.typesense.api.Client client, EmbeddingModel embeddingModel, TypesenseVectorStore.TypesenseVectorStoreConfig config, boolean initializeSchema)
	TypesenseVectorStore(org.typesense.api.Client client, EmbeddingModel embeddingModel, TypesenseVectorStore.TypesenseVectorStoreConfig config, boolean initializeSchema, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention, BatchingStrategy batchingStrategy)
	WeaviateVectorStore(WeaviateVectorStore.WeaviateVectorStoreConfig vectorStoreConfig, EmbeddingModel embeddingModel, io.weaviate.client.WeaviateClient weaviateClient)	Constructs a new WeaviateVectorStore.
	WeaviateVectorStore(WeaviateVectorStore.WeaviateVectorStoreConfig vectorStoreConfig, EmbeddingModel embeddingModel, io.weaviate.client.WeaviateClient weaviateClient, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention, BatchingStrategy batchingStrategy)	Constructs a new WeaviateVectorStore.

Uses of EmbeddingModel in org.springframework.ai.vectorstore.azure

Constructors in org.springframework.ai.vectorstore.azure with parameters of type EmbeddingModel

Modifier	Constructor	Description
	AzureVectorStore(com.azure.search.documents.indexes.SearchIndexClient searchIndexClient, EmbeddingModel embeddingModel, boolean initializeSchema)	Constructs a new AzureCognitiveSearchVectorStore.
	AzureVectorStore(com.azure.search.documents.indexes.SearchIndexClient searchIndexClient, EmbeddingModel embeddingModel, boolean initializeSchema, List<AzureVectorStore.MetadataField> filterMetadataFields)	Constructs a new AzureCognitiveSearchVectorStore.
	AzureVectorStore(com.azure.search.documents.indexes.SearchIndexClient searchIndexClient, EmbeddingModel embeddingModel, boolean initializeSchema, List<AzureVectorStore.MetadataField> filterMetadataFields, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention, BatchingStrategy batchingStrategy)	Constructs a new AzureCognitiveSearchVectorStore.

Uses of EmbeddingModel in org.springframework.ai.vectorstore.qdrant

Constructors in org.springframework.ai.vectorstore.qdrant with parameters of type EmbeddingModel

Modifier	Constructor	Description
	QdrantVectorStore(io.qdrant.client.QdrantClient qdrantClient, String collectionName, EmbeddingModel embeddingModel, boolean initializeSchema)	Constructs a new QdrantVectorStore.
	QdrantVectorStore(io.qdrant.client.QdrantClient qdrantClient, String collectionName, EmbeddingModel embeddingModel, boolean initializeSchema, io.micrometer.observation.ObservationRegistry observationRegistry, VectorStoreObservationConvention customObservationConvention, BatchingStrategy batchingStrategy)	Constructs a new QdrantVectorStore.
	QdrantVectorStore(io.qdrant.client.QdrantClient qdrantClient, QdrantVectorStore.QdrantVectorStoreConfig config, EmbeddingModel embeddingModel, boolean initializeSchema)	Deprecated, for removal: This API element is subject to removal in a future version. since 1.0.0 in favor of QdrantVectorStore.

Uses of EmbeddingModel in org.springframework.ai.vertexai.embedding.text

Classes in org.springframework.ai.vertexai.embedding.text that implement EmbeddingModel

Modifier and Type	Class	Description
class	VertexAiTextEmbeddingModel	A class representing a Vertex AI Text Embedding Model.

Uses of EmbeddingModel in org.springframework.ai.vertexai.palm2

Classes in org.springframework.ai.vertexai.palm2 that implement EmbeddingModel

Modifier and Type	Class	Description
class	VertexAiPaLm2EmbeddingModel

Uses of EmbeddingModel in org.springframework.ai.watsonx

Classes in org.springframework.ai.watsonx that implement EmbeddingModel

Modifier and Type	Class	Description
class	WatsonxAiEmbeddingModel	EmbeddingModel implementation for Watsonx.ai.

Uses of EmbeddingModel in org.springframework.ai.zhipuai

Classes in org.springframework.ai.zhipuai that implement EmbeddingModel

Modifier and Type	Class	Description
class	ZhiPuAiEmbeddingModel	ZhiPuAI Embedding Model implementation.