To begin using RagaAI Catalyst, you need to create a new project. Follow these steps to create a project via the UI:
1. Navigate to the **projects section** in RagaAI Catalyst.
2. On the project page, click the **Create New Project** button.
3. In the popup window, enter a name for your project.
4. Select the use-case of your LLM Application from the dropdown. Currently supported use cases include:
* **Chatbot**: For running chat-level evaluations on complete human-AI conversations
* **Text2SQL**: For AI generated SQL-based response evaluations
* **Q/A** (Default): Standard RAG prompt-context-response based evaluations
* **Code Generation**: For evaluations on AI generated code
5. Click **Done** to finalise the creation of your new project.
### Via SDK:
You can also create project using the Python SDK with the following command structure:
```python
from ragaai_catalyst import RagaAICatalyst
project_name = 'your-project-name'
project = catalyst.create_project(
project_name=project_name,
usecase="Chatbot" #default usecase Q/A
)
```
Supported 'usecase' values are as listed above, and case sensitive.
Once created, projects can be listed using the following command:
```python
catalyst.list_projects()
```
---
# Agent Instructions: Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter:
```
GET https://docs.raga.ai/ragaai-catalyst/concepts/uploading-data/create-new-project.md?ask=
```
The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.