Package dev.langchain4j.store.embedding.weaviate

Class WeaviateEmbeddingStore

java.lang.Object

dev.langchain4j.store.embedding.weaviate.WeaviateEmbeddingStore

All Implemented Interfaces:

EmbeddingStore<TextSegment>

public class WeaviateEmbeddingStore
extends Object
implements EmbeddingStore<TextSegment>

Represents the Weaviate vector database. Current implementation assumes the cosine distance metric is used.

Constructor Summary

Constructors

Constructor	Description
WeaviateEmbeddingStore(String apiKey, String scheme, String host, Integer port, Boolean useGrpcForInserts, Boolean securedGrpc, Integer grpcPort, String objectClass, Boolean avoidDups, String consistencyLevel, Collection<String> metadataKeys, String textFieldName, String metadataFieldName)	Creates a new WeaviateEmbeddingStore instance.

Method Summary

Modifier and Type	Method	Description
String	add(Embedding embedding)	Adds a given embedding to the store.
String	add(Embedding embedding, TextSegment textSegment)	Adds a given embedding and the corresponding content that has been embedded to the store.
void	add(String id, Embedding embedding)	Adds a new embedding with provided ID to the store.
List<String>	addAll(List<Embedding> embeddings)	Adds multiple embeddings to the store.
void	addAll(List<String> ids, List<Embedding> embeddings, List<TextSegment> embedded)	Adds multiple embeddings and their corresponding contents that have been embedded to the store.
void	removeAll()	Removes all embeddings from the store.
void	removeAll(Collection<String> ids)	Removes all embeddings that match the specified IDs from the store.
EmbeddingSearchResult<TextSegment>	search(EmbeddingSearchRequest request)	Searches for the most similar (closest in the embedding space) Embeddings.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface dev.langchain4j.store.embedding.EmbeddingStore

addAll, findRelevant, findRelevant, findRelevant, findRelevant, generateIds, remove, removeAll

Constructor Details

WeaviateEmbeddingStore

public WeaviateEmbeddingStore(String apiKey,
 String scheme,
 String host,
 Integer port,
 Boolean useGrpcForInserts,
 Boolean securedGrpc,
 Integer grpcPort,
 String objectClass,
 Boolean avoidDups,
 String consistencyLevel,
 Collection<String> metadataKeys,
 String textFieldName,
 String metadataFieldName)

Creates a new WeaviateEmbeddingStore instance.

Parameters:

apiKey - Your Weaviate API key. Not required for local deployment.

scheme - The scheme, e.g. "https" of cluster URL. Find in under Details of your Weaviate cluster.

host - The host, e.g. "langchain4j-4jw7ufd9.weaviate.network" of cluster URL. Find in under Details of your Weaviate cluster.

port - The port, e.g. 8080. This parameter is optional.

useGrpcForInserts - Use GRPC instead of HTTP for batch inserts only. You still need HTTP configured for search

securedGrpc - The GRPC connection is secured

grpcPort - The port, e.g. 50051. This parameter is optional.

objectClass - The object class you want to store, e.g. "MyGreatClass". Must start from an uppercase letter.

avoidDups - If true (default), then WeaviateEmbeddingStore will generate a hashed ID based on provided text segment, which avoids duplicated entries in DB. If false, then random ID will be generated.

consistencyLevel - Consistency level: ONE, QUORUM (default) or ALL. Find more details here.

metadataKeys - Metadata keys that should be persisted (optional)

textFieldName - The name of the field that contains the text of a TextSegment. Default is "text".

metadataFieldName - metadataFieldName The name of the field where Metadata entries are stored. Default is "_metadata". If set to empty string, Metadata entries will be stored in the root of the Weaviate object.

Method Details

add

public String add(Embedding embedding)

Description copied from interface: EmbeddingStore

Adds a given embedding to the store.

Specified by:

add in interface EmbeddingStore<TextSegment>

Parameters:

embedding - The embedding to be added to the store.

Returns:

The auto-generated ID associated with the added embedding.

add

public void add(String id,
 Embedding embedding)

Adds a new embedding with provided ID to the store.

Specified by:

add in interface EmbeddingStore<TextSegment>

Parameters:

id - the ID of the embedding to add in UUID format, since it's Weaviate requirement. See Weaviate docs and UUID on Wikipedia

embedding - the embedding to add

add

public String add(Embedding embedding,
 TextSegment textSegment)

Description copied from interface: EmbeddingStore

Adds a given embedding and the corresponding content that has been embedded to the store.

Specified by:

add in interface EmbeddingStore<TextSegment>

Parameters:

embedding - The embedding to be added to the store.

textSegment - Original content that was embedded.

Returns:

The auto-generated ID associated with the added embedding.

addAll

public List<String> addAll(List<Embedding> embeddings)

Description copied from interface: EmbeddingStore

Adds multiple embeddings to the store.

Specified by:

addAll in interface EmbeddingStore<TextSegment>

Parameters:

embeddings - A list of embeddings to be added to the store.

Returns:

A list of auto-generated IDs associated with the added embeddings.

removeAll

public void removeAll(Collection<String> ids)

Description copied from interface: EmbeddingStore

Removes all embeddings that match the specified IDs from the store.

Specified by:

removeAll in interface EmbeddingStore<TextSegment>

Parameters:

ids - A collection of unique IDs of the embeddings to be removed.

removeAll

public void removeAll()

Description copied from interface: EmbeddingStore

Removes all embeddings from the store.

Specified by:

removeAll in interface EmbeddingStore<TextSegment>

search

public EmbeddingSearchResult<TextSegment> search(EmbeddingSearchRequest request)

Searches for the most similar (closest in the embedding space) Embeddings.
All search criteria are defined inside the EmbeddingSearchRequest.
EmbeddingSearchRequest.filter() can be used to filter by various metadata entries (e.g., user/memory ID). Please note that not all EmbeddingStore implementations support Filtering. The score inside EmbeddingMatch is Weaviate's certainty.

Specified by:

search in interface EmbeddingStore<TextSegment>

Parameters:

request - A request to search in an EmbeddingStore. Contains all search criteria.

Returns:

An EmbeddingSearchResult containing all found Embeddings.

addAll

public void addAll(List<String> ids,
 List<Embedding> embeddings,
 List<TextSegment> embedded)

Description copied from interface: EmbeddingStore

Adds multiple embeddings and their corresponding contents that have been embedded to the store.

Specified by:

addAll in interface EmbeddingStore<TextSegment>

Parameters:

ids - A list of IDs associated with the added embeddings.

embeddings - A list of embeddings to be added to the store.

embedded - A list of original contents that were embedded.