Package dev.langchain4j.store.embedding.cassandra

Class CassandraEmbeddingStore

java.lang.Object

dev.langchain4j.store.embedding.cassandra.CassandraEmbeddingStore

All Implemented Interfaces:

EmbeddingStore<TextSegment>

public class CassandraEmbeddingStore
extends Object
implements EmbeddingStore<TextSegment>

Implementation of EmbeddingStore using Cassandra.

See Also:

• EmbeddingStore
• MetadataVectorTable

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	CassandraEmbeddingStore.Builder
static class	CassandraEmbeddingStore.BuilderAstra

Field Summary

Fields

Modifier and Type	Field	Description
protected com.datastax.oss.driver.api.core.CqlSession	cassandraSession	Cassandra question.
protected com.dtsx.astra.sdk.cassio.MetadataVectorTable	embeddingTable	Represents an embedding table in Cassandra, it is a table with a vector column.

Constructor Summary

Constructors

Constructor	Description
CassandraEmbeddingStore(com.datastax.oss.driver.api.core.CqlSession session, String tableName, int dimension)	Embedding Store.
CassandraEmbeddingStore(com.datastax.oss.driver.api.core.CqlSession session, String tableName, int dimension, com.dtsx.astra.sdk.cassio.CassandraSimilarityMetric metric)	Embedding Store.

Method Summary

Modifier and Type	Method	Description
String	add(@NonNull Embedding embedding)	Add a new embedding to the store.
String	add(@NonNull Embedding embedding, TextSegment textSegment)	Add a new embedding to the store.
void	add(@NonNull String rowId, @NonNull Embedding embedding)	Add a new embedding to the store.
List<String>	addAll(List<Embedding> embeddingList)	Add multiple embeddings as a single action.
List<String>	addAll(List<Embedding> embeddingList, List<TextSegment> textSegmentList)	Add multiple embeddings as a single action.
static CassandraEmbeddingStore.Builder	builder()
static CassandraEmbeddingStore.BuilderAstra	builderAstra()
void	clear()	Delete all rows.
void	delete()	Delete the table.
List<EmbeddingMatch<TextSegment>>	findRelevant(Embedding embedding, int maxResults, double minScore)	Search for relevant.
List<EmbeddingMatch<TextSegment>>	findRelevant(Embedding embedding, int maxResults, double minScore, Metadata metadata)	Similarity Search ANN based on the embedding.

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

findRelevant, findRelevant, findRelevant

Field Details

embeddingTable

protected com.dtsx.astra.sdk.cassio.MetadataVectorTable embeddingTable

Represents an embedding table in Cassandra, it is a table with a vector column.

cassandraSession

protected com.datastax.oss.driver.api.core.CqlSession cassandraSession

Cassandra question.

Constructor Details

CassandraEmbeddingStore

public CassandraEmbeddingStore(com.datastax.oss.driver.api.core.CqlSession session,
 String tableName,
 int dimension)

Embedding Store.

Parameters:

session - cassandra Session

tableName - table name

dimension - dimension

CassandraEmbeddingStore

public CassandraEmbeddingStore(com.datastax.oss.driver.api.core.CqlSession session,
 String tableName,
 int dimension,
 com.dtsx.astra.sdk.cassio.CassandraSimilarityMetric metric)

Embedding Store.

Parameters:

session - cassandra Session

tableName - table name

dimension - dimension

metric - metric

Method Details

delete

public void delete()

Delete the table.

clear

public void clear()

Delete all rows.

builder

public static CassandraEmbeddingStore.Builder builder()

builderAstra

public static CassandraEmbeddingStore.BuilderAstra builderAstra()

add

public String add(@NonNull
 @NonNull Embedding embedding)

Add a new embedding to the store. - the row id is generated - text and metadata are not stored

Specified by:

add in interface EmbeddingStore<TextSegment>

Parameters:

embedding - representation of the list of floats

Returns:

newly created row id

add

public String add(@NonNull
 @NonNull Embedding embedding,
 TextSegment textSegment)

Add a new embedding to the store. - the row id is generated - text and metadata coming from the text Segment

Specified by:

add in interface EmbeddingStore<TextSegment>

Parameters:

embedding - representation of the list of floats

textSegment - text content and metadata

Returns:

newly created row id

add

public void add(@NonNull
 @NonNull String rowId,
 @NonNull
 @NonNull Embedding embedding)

Add a new embedding to the store.

Specified by:

add in interface EmbeddingStore<TextSegment>

Parameters:

rowId - the row id

embedding - representation of the list of floats

addAll

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

Add multiple embeddings as a single action.

Specified by:

addAll in interface EmbeddingStore<TextSegment>

Parameters:

embeddingList - embeddings list

Returns:

list of new row if (same order as the input)

addAll

public List<String> addAll(List<Embedding> embeddingList,
 List<TextSegment> textSegmentList)

Add multiple embeddings as a single action.

Specified by:

addAll in interface EmbeddingStore<TextSegment>

Parameters:

embeddingList - embeddings

textSegmentList - text segments

Returns:

list of new row if (same order as the input)

findRelevant

public List<EmbeddingMatch<TextSegment>> findRelevant(Embedding embedding,
 int maxResults,
 double minScore)

Search for relevant.

Specified by:

findRelevant in interface EmbeddingStore<TextSegment>

Parameters:

embedding - current embeddings

maxResults - max number of result

minScore - threshold

Returns:

list of matching elements

findRelevant

public List<EmbeddingMatch<TextSegment>> findRelevant(Embedding embedding,
 int maxResults,
 double minScore,
 Metadata metadata)

Similarity Search ANN based on the embedding.

Parameters:

embedding - vector

maxResults - max number of results

minScore - score minScore

metadata - map key-value to build a metadata filter

Returns:

list of matching results