A path to the module that contains the class, eg. ["langchain", "llms"] Usually should be the same as the entrypoint the class is exported from.
A map of aliases for constructor args. Keys are the attribute names, e.g. "foo". Values are the alias that will replace the key in serialization. This is used to eg. make argument names match Python.
A map of additional attributes to merge with constructor args. Keys are the attribute names, e.g. "foo". Values are the attribute values, which will be serialized. These attributes need to be accepted by the constructor as arguments.
The final serialized identifier for the module.
A map of secrets, which will be omitted from serialization. Keys are paths to the secret in constructor args, e.g. "foo.bar.baz". Values are the secret ids, which will be used when deserializing.
Method to add documents to the Cassandra database.
The documents to add.
Promise that resolves when the documents have been added.
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: booleanMethod 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 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.
Static lc_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.