HanaDB

The embeddings generated for the input texts.

Returns a string representing the type of vector store, which subclasses must implement to identify their specific vector storage type.

Adds an array of documents to the collection. The documents are first converted to vectors using the embedDocuments method of the embeddings instance.

Adds an array of vectors and corresponding documents to the collection. The vectors and documents are batch inserted into the database.

Creates a VectorStoreRetriever instance with flexible configuration options.

Checks if the specified column exists in the table and validates its data type and length.

Creates an HNSW vector index on a specified table and vector column with optional build and search configurations. If no configurations are provided, default parameters from the database are used. If provided values exceed the valid ranges, an error will be raised. The index is always created in ONLINE mode.

Deletes rows from the Cassandra table that match the specified WHERE clause conditions.

Initializes the llama_cpp model for usage in the chat models wrapper.

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.

Performs a similarity search on the vectors in the collection. The search is performed using the given query vector and returns the top k most similar vectors along with their corresponding documents and similarity scores.

Searches for documents similar to a text query by embedding the query, and returns results with similarity scores.

Performs a similarity search based on vector comparison and returns documents along with their similarity scores and vectors.

Creates an instance of AnalyticDBVectorStore from an array of texts and corresponding metadata. The texts are first converted to Document instances before being added to the collection.

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.

Parses a string representation of a float array and returns an array of numbers.

Sanitizes the input to integer. Throws an error if the value is less than lower bound.

Sanitizes a list to ensure all elements are floats (numbers in TypeScript). Throws an error if any element is not a number.

Sanitizes the input string by removing characters that are not alphanumeric or underscores.