LlamaIndex Readers Integration: Deeplake
Overview
DeepLake Reader is a tool designed to retrieve documents from existing DeepLake datasets efficiently.
Installation
You can install DeepLake Reader via pip:
pip install llama-index-readers-deeplake
To use Deeplake Reader, you must have an API key. Here are the installation instructions
Usage
from llama_index.core.schema import Document
from llama_index.readers.deeplake import DeepLakeReader
# Initialize DeepLakeReader with the token
reader = DeepLakeReader(token="<Your DeepLake Token>")
# Load data from DeepLake
documents = reader.load_data(
query_vector=[0.1, 0.2, 0.3], # Query vector
dataset_path="<Path to Dataset>", # Path to the DeepLake dataset
limit=4, # Number of results to return
distance_metric="l2", # Distance metric
)
This loader is designed to be used as a way to load data into LlamaIndex and/or subsequently used as a Tool in a LangChain Agent.
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