Uses of Record Class
org.springframework.ai.vectorstore.EmbeddedDocument
Packages that use EmbeddedDocument
Package
Description
Provides interfaces and implementations for working with vector databases in Spring AI.
Provides the API for embedding observations.
Provides classes for observing and storing vector data.
Provides the API for embedding observations.
Provides the API for embedding observations.
Provides the API for embedding observations.
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Uses of EmbeddedDocument in org.springframework.ai.test.vectorstore
Methods in org.springframework.ai.test.vectorstore that return EmbeddedDocumentModifier and TypeMethodDescriptionprotected EmbeddedDocumentAbstractVectorStoreUpsertTests.embeddedDocument(String id, String content, Map<String, Object> metadata) Build anEmbeddedDocumentwith a deterministic, correctly sized vector derived from the id so distinct ids get distinct vectors. -
Uses of EmbeddedDocument in org.springframework.ai.vectorstore
Method parameters in org.springframework.ai.vectorstore with type arguments of type EmbeddedDocumentModifier and TypeMethodDescriptiondefault voidVectorStore.upsert(List<EmbeddedDocument> entries) Upserts a list ofEmbeddedDocuments into the vector store using caller-supplied embeddings, bypassing the store's own embedding model. -
Uses of EmbeddedDocument in org.springframework.ai.vectorstore.elasticsearch
Method parameters in org.springframework.ai.vectorstore.elasticsearch with type arguments of type EmbeddedDocumentModifier and TypeMethodDescriptionprotected voidElasticsearchVectorStore.doUpsert(List<EmbeddedDocument> entries) -
Uses of EmbeddedDocument in org.springframework.ai.vectorstore.observation
Method parameters in org.springframework.ai.vectorstore.observation with type arguments of type EmbeddedDocumentModifier and TypeMethodDescriptionprotected voidAbstractObservationVectorStore.doUpsert(List<EmbeddedDocument> entries) Template method for concrete implementations to provide upsert logic using caller-supplied embeddings.voidAbstractObservationVectorStore.upsert(List<EmbeddedDocument> entries) LikeAbstractObservationVectorStore.add(List), this path accepts text documents only, but for a different reason:addis restricted because it invokes the text embedding model, whileupsertnever embeds and is restricted because no store can persist a row that carries no text. -
Uses of EmbeddedDocument in org.springframework.ai.vectorstore.pgvector
Method parameters in org.springframework.ai.vectorstore.pgvector with type arguments of type EmbeddedDocumentModifier and TypeMethodDescriptionprotected voidPgVectorStore.doUpsert(List<EmbeddedDocument> entries) -
Uses of EmbeddedDocument in org.springframework.ai.vectorstore.qdrant
Method parameters in org.springframework.ai.vectorstore.qdrant with type arguments of type EmbeddedDocumentModifier and TypeMethodDescriptionprotected voidQdrantVectorStore.doUpsert(List<EmbeddedDocument> entries) -
Uses of EmbeddedDocument in org.springframework.ai.vectorstore.redis
Method parameters in org.springframework.ai.vectorstore.redis with type arguments of type EmbeddedDocumentModifier and TypeMethodDescriptionprotected voidRedisVectorStore.doUpsert(List<EmbeddedDocument> entries)