Method to add documents to the Xata database. Maps the page content of each document, embeds the documents using the embeddings, and adds the vectors to the database.
Array of documents to be added.
Optional options: { Optional object containing an array of ids.
Optional ids?: string[]Promise resolving to an array of ids of the added documents.
Method to add vectors to the Xata database. Maps each vector to a row with the document's content, embedding, and metadata. Creates or replaces these rows in the Xata database.
Array of vectors to be added.
Array of documents corresponding to the vectors.
Optional options: { Optional object containing an array of ids.
Optional ids?: string[]Promise resolving to an array of ids of the added vectors.
Optional kOrFields: number | Partial<VectorStoreRetrieverInput<XataVectorSearch<XataClient>>>Optional filter: objectOptional callbacks: CallbacksOptional tags: string[]Optional metadata: Record<string, unknown>Optional verbose: booleanOptional k: numberOptional filter: objectOptional _callbacks: CallbacksMethod to perform a similarity search in the Xata database. Returns the k most similar documents along with their scores.
Query vector for the similarity search.
Number of most similar documents to return.
Optional filter: objectOptional filter for the search.
Promise resolving to an array of tuples, each containing a Document and its score.
Optional k: numberOptional filter: objectOptional _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 fromGenerated using TypeDoc
Class for interacting with a Xata database as a VectorStore. Provides methods to add documents and vectors to the database, delete entries, and perform similarity searches.