Vector Store

Creating a Deep Lake Vector Store

VectorStore.__init__

Creates an empty VectorStore or loads an existing one if it exists at the specified path.

Vector Store Operations

VectorStore.add	Adding elements to deeplake vector store.
VectorStore.search	VectorStore search method that combines embedding search, metadata search, and custom TQL search.
VectorStore.delete	Delete the data in the Vector Store.
VectorStore.delete_by_path	Deleted the Vector Store at the specified path.
VectorStore.update_embedding	Recompute existing embeddings of the VectorStore, that match either query, filter, ids or row_ids.

Vector Store Properties

VectorStore.summary	Prints a summary of the dataset
VectorStore.tensors	Returns the list of tensors present in the dataset
VectorStore.__len__	Length of the dataset

VectorStore.DeepMemory

Creating a Deep Memory

if Deep Memory is available on your plan, it will be automatically initialized when you create a Vector Store.

DeepMemory.__init__

Based Deep Memory class to train and evaluate models on DeepMemory managed service.

Deep Memory Operations

DeepMemory.train
DeepMemory.cancel
DeepMemory.delete

Deep Memory Properties

DeepMemory.status
DeepMemory.list_jobs