Action Table

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 ( ✔️ ) or Input. Every Output Column is an LLM Agent.

3. Open up the created table.

4. Configure all the Output Columns, by clicking 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 SDK. 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.