Method to add documents to the ClickHouse database.
The documents to add.
Promise that resolves when the documents have been added.
Method to add vectors to the ClickHouse database.
The vectors to add.
The documents associated with the vectors.
Promise that resolves when the vectors have been added.
Optional kOrFields: number | Partial<VectorStoreRetrieverInput<ClickHouseStore>>Optional filter: ClickHouseFilterOptional callbacks: CallbacksOptional tags: string[]Optional metadata: Record<string, unknown>Optional verbose: booleanOptional k: numberOptional filter: ClickHouseFilterOptional _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: ClickHouseFilterOptional filter for the search results.
Promise that resolves with an array of tuples, each containing a Document and a score.
Optional k: numberOptional filter: ClickHouseFilterOptional _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 ClickHouseStore from documents.
The documents to use.
The embeddings to use.
The arguments for the ClickHouseStore.
Promise that resolves with a new instance of ClickHouseStore.
Static fromStatic method to create an instance of ClickHouseStore from an existing index.
The embeddings to use.
The arguments for the ClickHouseStore.
Promise that resolves with a new instance of ClickHouseStore.
Static fromStatic method to create an instance of ClickHouseStore from texts.
The texts to use.
The metadata associated with the texts.
The embeddings to use.
The arguments for the ClickHouseStore.
Promise that resolves with a new instance of ClickHouseStore.
Generated using TypeDoc
Class for interacting with the ClickHouse 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.