Add documents to the vector store. Will be updated if in the metadata there is a document with the same id if is using the default import function. Metadata will be added in the columns of the schema based on metadataColumnNames.
Documents to add.
Optional
kOrFields: number | Partial<VectorStoreRetrieverInput<Typesense>>Optional
filter: Partial<MultiSearchRequestSchema>Optional
callbacks: CallbacksOptional
tags: string[]Optional
metadata: Record<string, unknown>Optional
verbose: booleanSearch for similar documents with their similarity score.
vector to search for
Optional
k: numberamount of results to return
similar documents with their similarity 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
fromCreate a vector store from documents.
documents
embeddings
Typesense configuration
Typesense vector store
You can omit this method, and only use the constructor and addDocuments.
Static
fromCreate a vector store from texts.
Typesense vector store
Generated using TypeDoc
Typesense vector store.