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