class TigrisVectorStoreClass for managing and operating vector search applications with Tigris, an open-source Serverless NoSQL Database and Search Platform.
Embeddings interface for generating vector embeddings from text queries, enabling vector-based similarity searches.
Defines the filter type used in search and delete operations. Can be an object for structured conditions or a string for simpler filtering.
Returns a string representing the type of vector store, which subclasses must implement to identify their specific vector storage type.
Method to add an array of documents to the Tigris database.
Method to add vectors to the Tigris database.
Creates a VectorStoreRetriever instance with flexible configuration options.
Deletes documents from the vector store based on the specified parameters.
Return documents selected using the maximal marginal relevance. Maximal marginal relevance optimizes for similarity to the query AND diversity among selected documents.
Searches for documents similar to a text query by embedding the query and performing a similarity search on the resulting vector.
Method to perform a similarity search in the Tigris database and return the k most similar vectors along with their similarity scores.
Searches for documents similar to a text query by embedding the query, and returns results with similarity scores.
Static method to create a new instance of TigrisVectorStore from an array of Document instances.
Static method to create a new instance of TigrisVectorStore from an existing index.
Static method to create a new instance of TigrisVectorStore from an array of texts.
The name of the serializable. Override to provide an alias or to preserve the serialized module name in minified environments.
Implemented as a static method to support loading logic.