| Name | llama-index-readers-deeplake JSON |
| Version |
0.3.0
JSON |
| download |
| home_page | None |
| Summary | llama-index readers deeplake integration |
| upload_time | 2024-11-18 00:17:35 |
| maintainer | adolkhan |
| docs_url | None |
| author | Your Name |
| requires_python | <4.0,>=3.9 |
| license | MIT |
| keywords |
deeplake
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# 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:
```bash
pip install llama-index-readers-deeplake
```
To use Deeplake Reader, you must have an API key. Here are the [installation instructions](https://docs.activeloop.ai/storage-and-credentials/user-authentication)
## Usage
```python
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](https://github.com/run-llama/llama_index/tree/main/llama_index) and/or subsequently
used as a Tool in a [LangChain](https://github.com/hwchase17/langchain) Agent.
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