# Action Table {% embed url="" %} Demo on Action Table Usage {% endembed %} 1. Go to **>> Project >> Action Table**

2. Create a **New Action Table**. Define the **Column ID** and the **Data Type**. Each column can be specified as **Output** ( :heavy\_check\_mark: ) or **Input. Every Output Column is an LLM Agent.**

3. Open up the created table. 4. Configure all the **Output Columns,** by c**licking on the**

of the **Output Column** and **open settings.** * Under **Prompt** tab, you can write the prompt of the LLM Agent. You can referenced any of the column to the left of the current column. E.g. In this case. **Malay** Output Column can reference the Fruit Name Column as an input in its prompt, but not any other columns (Chinese, Arabic, etc,) which are to the right of the **Malay** Output Column.

5. **Click** **Update.** 6. Start using the table! 1. On the **app.jamaibase.com,** in the table view, click

2. You can also add row through our SDK [Broken mention](broken://pages/Dzw6vpYEfw7ZfRPixN4l). at endpoint app.jamaibase.com with auth. ## Advanced Usage: Give your LLM Agent Knowledge 1. When you are updating the configuration

of the Output Column, enable the **RAG.** 2. There are a few settings to configure: * **k**: The number of maximum Knowledge Row that can be fetched as references during RAG. * **Reranking Model** (optional): Reranking the Knowledge Row retrieved before passing it into LLM Agent. * **Knowledge Table**: The table where LLM Agent will search for Knowledge Rows and use it as references.

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