| Name | whyhow JSON |
| Version |
0.1.12
JSON |
| download |
| home_page | None |
| Summary | Whyhow automated KG SDK |
| upload_time | 2024-11-30 02:04:08 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | MIT |
| keywords |
sdk
kg
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# WhyHow Knowledge Graph Studio SDK
[](https://www.python.org/downloads/)
[](https://opensource.org/licenses/MIT)
[](https://pypi.org/project/whyhow/)
[](https://github.com/psf/black)
[](https://mypy-lang.org/)
<a href="https://discord.gg/9bWqrsxgHr" alt="WhyHow Discord community">
<picture>
<img alt="WhyHow Discord community" src="https://invidget.switchblade.xyz/9bWqrsxgHr?theme=dark">
</picture>
</a>
The WhyHow Knowledge Graph Studio SDK enables you to quickly and easily build automated knowledge graphs tailored to your unique worldview. Instantly build, extend, and query well-scoped KGs with your data.
> [!WARNING]
> This SDK is our old SDK. To access our upgraded Sutdio Platform, please check out our [upgraded Studio & SDK here](https://medium.com/enterprise-rag/whyhow-ai-platform-beta-update-sdk-for-programmatic-flows-a0e33921416a).
# Installation
## Prerequisites
- Python 3.10 or higher
## Install from PyPI
You can install the SDK directly from PyPI using pip:
```shell
pip install whyhow
export WHYHOW_API_KEY=<YOUR_WHYHOW_API_KEY>
```
## Install from Github
Alternatively, you can clone the repo and install the package
```shell
git clone git@github.com:whyhow-ai/whyhow.git
cd whyhow
pip install .
export WHYHOW_API_KEY=<YOUR_WHYHOW_API_KEY>
```
# Examples
Navigate to the `examples/`.
## Initialize SDK
Import the SDK and initialize the client using your WhyHow API key.
```shell
from whyhow import WhyHow
client = WhyHow(api_key=<your whyhow api key>, base_url="https://api.whyhow.ai")
```
### Support
WhyHow.AI is building tools to help developers bring more determinism and control to their RAG pipelines using graph structures. If you're thinking about, in the process of, or have already incorporated knowledge graphs in RAG, we’d love to chat at team@whyhow.ai, or follow our newsletter at [WhyHow.AI](https://www.whyhow.ai/). Join our discussions about rules, determinism and knowledge graphs in RAG on our [Discord](https://discord.com/invite/9bWqrsxgHr).
We appreciate your interest.
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