mem0/docs/get-started/quickstart.mdx

---
title: '🚀 Quickstart'
description: '💡 Start building LLM powered apps under 30 seconds'
---

Embedchain is a Data Platform for LLMs - load, index, retrieve, and sync any unstructured data. Using embedchain, you can easily create LLM powered apps over any data. 

Install embedchain python package:

```bash
pip install embedchain
```

<Tip>
Embedchain now supports OpenAI's latest `gpt-4-turbo` model. Checkout the [FAQs](/get-started/faq#how-to-use-gpt-4-turbo-model-released-on-openai-devday).
</Tip>

Creating an app involves 3 steps:

<Steps>
  <Step title="⚙️ Import app instance">
    ```python
    from embedchain import Pipeline as App
    app = App()
    ```
    <Accordion title="Customize your app by a simple YAML config" icon="gear-complex">
      Embedchain provides a wide range of options to customize your app. You can customize the model, data sources, and much more.
      Explore the custom configurations [here](https://docs.embedchain.ai/advanced/configuration).
      <CodeGroup>
      ```python yaml_app.py
      from embedchain import Pipeline as App
      app = App.from_config(config_path="config.yaml")
      ```
      ```python json_app.py
      from embedchain import Pipeline as App
      app = App.from_config(config_path="config.json")
      ```
      ```python app.py
      from embedchain import Pipeline as App
      config = {} # Add your config here
      app = App.from_config(config=config)
      ```
      </CodeGroup>
    </Accordion>
  </Step>
  <Step title="🗃️ Add data sources">
    ```python
    app.add("https://en.wikipedia.org/wiki/Elon_Musk")
    app.add("https://www.forbes.com/profile/elon-musk")
    # app.add("path/to/file/elon_musk.pdf")
    ```
    <Accordion title="Embedchain supports adding data from many data sources." icon="files">
      Embedchain supports adding data from many data sources including web pages, PDFs, databases, and more.
      Explore the list of supported [data sources](https://docs.embedchain.ai/data-sources/overview).
    </Accordion>
  </Step>
  <Step title="💬 Ask questions, chat, or search through your data with ease">
    ```python
    app.query("What is the net worth of Elon Musk today?")
    # Answer: The net worth of Elon Musk today is $258.7 billion.
    ```
    <Accordion title="Want to chat with your app?" icon="face-thinking">
      Embedchain provides a wide range of features to interact with your app. You can chat with your app, ask questions, search through your data, and much more.
      ```python
      app.chat("How many companies does Elon Musk run? Name those")
      # Answer: Elon Musk runs 3 companies: Tesla, SpaceX, and Neuralink.
      app.chat("What is his net worth today?")
      # Answer: The net worth of Elon Musk today is $258.7 billion.
      ```
      To learn about other features, click [here](https://docs.embedchain.ai/get-started/introduction)
    </Accordion>
  </Step>
  <Step title="🚀 Seamlessly launch your App on the Embedchain Platform!">
    ```python
    app.deploy()
    # 🔑 Enter your Embedchain API key. You can find the API key at https://app.embedchain.ai/settings/keys/
    # ec-xxxxxx

    # 🛠️ Creating pipeline on the platform...
    # 🎉🎉🎉 Pipeline created successfully! View your pipeline: https://app.embedchain.ai/pipelines/xxxxx

    # 🛠️ Adding data to your pipeline...
    # ✅ Data of type: web_page, value: https://www.forbes.com/profile/elon-musk added successfully.
    ```
    <Accordion title="Share your app with others" icon="laptop-mobile">
      You can now share your app with others from our platform.
      Access your app on our [platform](https://app.embedchain.ai/).
    </Accordion>
  </Step>
</Steps>

Putting it together, you can run your first app using the following Google Colab. Make sure to set the `OPENAI_API_KEY` 🔑 environment variable in the code.

<a href="https://colab.research.google.com/drive/17ON1LPonnXAtLaZEebnOktstB_1cJJmh?usp=sharing">
    <img src="https://camo.githubusercontent.com/84f0493939e0c4de4e6dbe113251b4bfb5353e57134ffd9fcab6b8714514d4d1/68747470733a2f2f636f6c61622e72657365617263682e676f6f676c652e636f6d2f6173736574732f636f6c61622d62616467652e737667" alt="Open in Colab" />
</a>