Method to search for vectors that are similar to a given query vector, but with the results selected using the maximal marginal relevance.
The query string.
List of documents selected by maximal marginal relevance.
Helper method to search for vectors that are similar to a given query vector.
The query vector.
The number of similar Documents to return.
Optional filter: WhereClauseOptional filter to be applied as a WHERE clause.
Optional includeEmbedding: booleanWhether to include the embedding vectors in the results.
Promise that resolves with an array of tuples, each containing a Document and a score.
Method to search for vectors that are similar to a given query vector.
The query vector.
The number of similar Documents to return.
Optional filter: WhereClauseOptional filter to be applied as a WHERE clause.
Promise that resolves with an array of tuples, each containing a Document and a score.
Static fromStatic method to create an instance of CassandraStore from documents.
The documents to use.
The embeddings to use.
The arguments for the CassandraStore.
Promise that resolves with a new instance of CassandraStore.
Static fromStatic method to create an instance of CassandraStore from an existing index.
The embeddings to use.
The arguments for the CassandraStore.
Promise that resolves with a new instance of CassandraStore.
Static fromStatic method to create an instance of CassandraStore from texts.
The texts to use.
The metadata associated with the texts.
The embeddings to use.
The arguments for the CassandraStore.
Promise that resolves with a new instance of CassandraStore.
Generated using TypeDoc
Class for interacting with the Cassandra database. It extends the VectorStore class and provides methods for adding vectors and documents, searching for similar vectors, and creating instances from texts or documents.