mirror of
https://github.com/hwchase17/langchain.git
synced 2025-09-17 07:26:16 +00:00
Harrison/deeplake (#1316)
Co-authored-by: Davit Buniatyan <d@activeloop.ai>
This commit is contained in:
25
docs/ecosystem/deeplake.md
Normal file
25
docs/ecosystem/deeplake.md
Normal file
@@ -0,0 +1,25 @@
|
||||
# Deep Lake
|
||||
|
||||
This page covers how to use the Deep Lake ecosystem within LangChain.
|
||||
It is broken into two parts: installation and setup, and then references to specific Deep Lake wrappers. For more information.
|
||||
|
||||
1. Here is [whitepaper](https://www.deeplake.ai/whitepaper) and [academic paper](https://arxiv.org/pdf/2209.10785.pdf) for Deep Lake
|
||||
|
||||
2. Here is a set of additional resources available for review: [Deep Lake](https://github.com/activeloopai/deeplake), [Getting Started](https://docs.activeloop.ai/getting-started) and [Tutorials](https://docs.activeloop.ai/hub-tutorials)
|
||||
|
||||
## Installation and Setup
|
||||
- Install the Python package with `pip install deeplake`
|
||||
|
||||
## Wrappers
|
||||
|
||||
### VectorStore
|
||||
|
||||
There exists a wrapper around Deep Lake, a data lake for Deep Learning applications, allowing you to use it as a vectorstore (for now), whether for semantic search or example selection.
|
||||
|
||||
To import this vectorstore:
|
||||
```python
|
||||
from langchain.vectorstores import DeepLake
|
||||
```
|
||||
|
||||
|
||||
For a more detailed walkthrough of the Deep Lake wrapper, see [this notebook](../modules/indexes/vectorstore_examples/deeplake.ipynb)
|
Reference in New Issue
Block a user