#### Data sent:
* Table names and columns in your database
* Your description of the query you want to generate
* Current SQL query (if any)
### Generate Metric Descriptions
You can also use AI to generate descriptions for your metrics. This can help your team better understand what a metric
is used for when adding a metric to an experiment. It will take the metric SQL and meta information and generate a description.
#### Data sent:
* Metric name
* Metric SQL
* Metric attributes (e.g., type)
* Metric tags
### Hypothesis checking
Experiment hypothesis are crucial for guiding your experiments. With this AI integration, you can check the validity
of your experiment hypothesis to ensure consistency across your experiment program. This feature analyzes the hypothesis
against an adjustable prompt and provides feedback and suggestions for improvement.
#### Data sent:
* Experiment hypothesis text
### Similar Experiment Detection
You can use AI to detect similar experiments in your GrowthBook project. This feature helps you identify experiments
that may redundant, ensuring that you don't waste resources on testing similar ideas. The AI model analyzes the experiment
metadata and provides a list of similar experiments.
This feature is available from the "new experiment" modal when you create a new experiment. It will search the description and hypothesis and show you a list of
similar experiments.
This similar experiment detection is based on vector embeddings, which means it can find similar experiments even if
they don't share the exact same words. The embeddings will update automatically when the experiment meta information
changes, however, you can regenerate the embeddings for your experiments at any time from the AI settings page.
#### Data sent:
* Experiment description
* Experiment hypothesis
* Experiment name
## Self-Hosted AI Integrations
Self-hosted GrowthBook instances can enable these AI features, by adding a OpenAI API key to the AI settings page.
To get started with the OpenAI integration in GrowthBook, follow these steps:
1. **Create an OpenAI Account**: If you don't have an OpenAI account, sign up at [OpenAI](https://www.openai.com/).
2. **Obtain API Key**: After creating your account, obtain an API key from the OpenAI dashboard. This key will be used to authenticate your requests to the OpenAI API.
3. **Add environment variable**: Add the OpenAI API key to your GrowthBook instance as an environment variable. The variable should be named `OPENAI_API_KEY`.
For example, if you are using Docker, you can add the following line to your `docker-compose.yml` file:
```yaml theme={null}
environment:
- OPENAI_API_KEY=your_openai_api_key_here
```
If you are running GrowthBook in a different environment, refer to your platform's documentation on how to set environment variables.
4. **Configure GrowthBook**: In your GrowthBook settings, navigate to the AI settings tab and enable AI OpenAI integration, and configure any additional prompts as desired.
From the settings page you can also select the AI model you want to use. The default is `gpt-4o-mini`.
