Optional indexMethod to add an array of documents to the Tigris database.
An array of Document instances to be added to the Tigris database.
Optional options: string[] | { Optional parameter that can either be an array of string IDs or an object with a property 'ids' that is an array of string IDs.
A Promise that resolves when the documents have been added to the Tigris database.
Method to add vectors to the Tigris database.
An array of vectors to be added to the Tigris database.
An array of Document instances corresponding to the vectors.
Optional options: string[] | { Optional parameter that can either be an array of string IDs or an object with a property 'ids' that is an array of string IDs.
A Promise that resolves when the vectors have been added to the Tigris database.
Optional kOrFields: number | Partial<VectorStoreRetrieverInput<TigrisVectorStore>>Optional filter: string | objectOptional callbacks: CallbacksOptional tags: string[]Optional metadata: Record<string, unknown>Optional verbose: booleanOptional k: numberOptional filter: string | objectOptional _callbacks: CallbacksMethod to perform a similarity search in the Tigris database and return the k most similar vectors along with their similarity scores.
The query vector.
The number of most similar vectors to return.
Optional filter: objectOptional filter object to apply during the search.
A Promise that resolves to an array of tuples, each containing a Document and its similarity score.
Optional k: numberOptional filter: string | 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 method to create a new instance of TigrisVectorStore from an array of Document instances.
An array of Document instances to be added to the Tigris database.
An instance of Embeddings to be used for embedding the documents.
An instance of TigrisLibArgs to be used for configuring the Tigris database.
A Promise that resolves to a new instance of TigrisVectorStore.
Static fromStatic method to create a new instance of TigrisVectorStore from an existing index.
An instance of Embeddings to be used for embedding the documents.
An instance of TigrisLibArgs to be used for configuring the Tigris database.
A Promise that resolves to a new instance of TigrisVectorStore.
Static fromStatic method to create a new instance of TigrisVectorStore from an array of texts.
An array of texts to be converted into Document instances and added to the Tigris database.
Either an array of metadata objects or a single metadata object to be associated with the texts.
An instance of Embeddings to be used for embedding the texts.
An instance of TigrisLibArgs to be used for configuring the Tigris database.
A Promise that resolves to a new instance of TigrisVectorStore.
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Class for managing and operating vector search applications with Tigris, an open-source Serverless NoSQL Database and Search Platform.