Master Notion Data Integration with ChatGPT and Mantium

Table of Contents

1. Introduction
2. Importing Data from Notion
3. Setting up the Data Set in Mantum
4. Transforming the Data Set
5. Creating a Custom Data Set
6. Preparing the Data for AI Applications
7. Creating a Plugin in Mantum
8. Setting up the Plugin in Charge GPT
9. Using the Notion Plugin in Charge GPT
10. Conclusion

Introduction

In this tutorial, we will learn how to use Mantum and the OpenAI Charge GPT plugin to chat with your Notion data. We will start by importing data from Notion and setting up the data set in Mantum. Then, we will transform the data and Create a custom data set. After that, we will prepare the data for AI applications. Next, we will create a plugin in Mantum and set it up in Charge GPT. Finally, we will use the Notion plugin in Charge GPT to chat with our Notion data.

Importing Data from Notion

To begin, we need to connect Notion as a data source in Mantum. You can do this by clicking on "Add data source" and selecting Notion from the available connectors. If you don't have a connector set up, you can easily add a new connector by connecting to Notion and granting Mantum access to your Notion pages. Once connected, you can select the pages you want to bring into Mantum. In this tutorial, we will be working with the "Manateesearch" page. After selecting the pages, click on "Allow access" to bring the data over to Mantum.

Setting up the Data Set in Mantum

Now that we have connected Notion and brought in the data, we need to set up a data set in Mantum. Click on "Create custom data set" and provide a name for the data set. Then, click on "Save" to create the data set. This data set will be used to add new transforms and create plugins for our Notion data.

Transforming the Data Set

In Mantum, we have various transformations that we can use to clean and prepare our data for AI applications. For this tutorial, we will be working with the "Split text" and "Combined columns" transformations. The "Split text" transformation will split the content into smaller chunks to comply with OpenAI's recommendation, and the "Combined columns" transformation will combine different columns to generate embeddings and use them in the plugin. We will set the split length to 16, which means the content will be split at every word with a maximum of 16 words per chunk. After adding these transformations, we will have a new column called "Combined text" which will be used in the plugin.

Creating a Custom Data Set

After transforming the data, we can create a custom data set in Mantum. This custom data set will allow us to further customize the data by adding more transforms. Provide a name for the data set and click on "Save". The job will run again to create the new custom data set.

Preparing the Data for AI Applications

Now that we have our custom data set, we need to configure the destination for the data. We recommend using the "Vector Database" as it allows us to store the data that can be queried by Charge GPT. Click on "Go" next to "Manage Vector Database" to set up the destination.

Creating a Plugin in Mantum

With the data set and destination set up, we can now create a plugin in Mantum. Navigate to the "Plugin" section and click on "New plugin". Select the existing data set we created for the Notion data and choose an existing credential for OpenAI. If you don't have a credential, you can easily copy and paste it to create one. Specify the column that contains the text for the plugin, in this case, "Combined text". Click on "Continue" to let Mantum run some transforms and generate embeddings for the data.

Setting up the Plugin in Charge GPT

To use the Notion plugin in Charge GPT, we need to set it up in the Charge GPT interface. Open Charge GPT and navigate to the plugin store. Click on "Develop your own plugin" and paste the plugin URL that was generated in Mantum. Install the plugin and copy the access token provided. Paste the access token in the Charge GPT interface to complete the setup. Now the Notion plugin is ready to be used in Charge GPT.

Using the Notion Plugin in Charge GPT

To test the Notion plugin, provide a prompt that Prompts Charge GPT to make use of the plugin. For example, you can ask it to develop a comprehensive marketing plan and captivating tutorial thread for the Manateesearch product using the Notion plugin. Charge GPT will use the data from the Notion database to generate a response. You will see the results with metadata such as the auto, title, content, and source URL. You can also include additional instructions like asking for the sources to be included in the response. Charge GPT will provide a response Based on the information gathered from the Notion database.

Conclusion

In this tutorial, we have learned how to use Mantum and the OpenAI Charge GPT plugin to chat with Notion data. We started by importing the data from Notion and setting up the data set in Mantum. Then, we transformed the data and created a custom data set. Finally, we created a plugin in Mantum and set it up in Charge GPT to chat with our Notion data. By following these steps, you can leverage the power of AI to Interact with your data and generate Meaningful insights.

Highlights:

• Import data from Notion and chat with it using Mantum and the OpenAI Charge GPT plugin.
• Set up a custom data set and transform the data for AI applications.
• Create a plugin in Mantum and set it up in Charge GPT.
• Use the Notion plugin in Charge GPT to generate responses based on your data.

FAQ

Q: Can I use other data sources instead of Notion in Mantum? A: Yes, Mantum supports various data sources, and you can connect and import data from different platforms.

Q: Are there any limitations on the size of the Notion data that can be imported into Mantum? A: There might be limitations based on the tier of your Notion account and the capabilities of Mantum. It is best to consult the documentation or support for details.

Q: Can I create multiple plugins with different data sets in Mantum? A: Yes, you can create multiple plugins and customize the data sets in Mantum based on your needs.

Q: Are there any additional pre-processing steps required for the data before creating a plugin? A: It is important to appropriately pre-process the data by using transformations in Mantum to ensure that it aligns with the requirements of the plugin and AI applications.

Q: Can I use the Notion plugin in other AI models or platforms? A: The Notion plugin is specifically designed to work with Charge GPT, but you can explore compatibility with other platforms or models by referring to their documentation.