Method to save vectors to the Cassandra database.
Vectors to save.
The documents associated with the vectors.
Promise that resolves when the vectors have been added.
Optional kOrFields: number | Partial<VectorStoreRetrieverInput<CassandraStore>>Optional filter: WhereClauseOptional callbacks: CallbacksOptional tags: string[]Optional metadata: Record<string, unknown>Optional verbose: booleanOptional k: numberOptional filter: WhereClauseOptional _callbacks: CallbacksMethod to search for vectors that are similar to a given query vector.
The query vector.
The number of similar vectors to return.
Optional filter: WhereClausePromise that resolves with an array of tuples, each containing a Document and a score.
Optional k: numberOptional filter: WhereClauseOptional _callbacks: CallbacksOptional maxReturn documents selected using the maximal marginal relevance. Maximal marginal relevance optimizes for similarity to the query AND diversity among selected documents.
Text to look up documents similar to.
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.
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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.