JamAI Base Docs
  • GETTING STARTED
    • Welcome to JamAI Base
      • Why Choose JamAI Base?
      • Key Features
      • Architecture
    • Use Case
      • Chatbot (Frontend Only)
      • Chatbot
      • Create a simple food recommender with JamAI and Flutter
      • Create a simple fitness planner app with JamAI and Next.js with streaming text.
      • Customer Service Chatbot
      • Women Clothing Reviews Analysis Dashboard
      • Geological Survey Investigation Report Generation
      • Medical Insurance Underwriting Automation
      • Medical Records Extraction
    • Frequently Asked Questions (FAQ)
    • Quick Start
      • Quick Start with Chat Table
      • Quick Start: Action Table (Multimodal)
      • ReactJS
      • Next JS
      • SvelteKit
      • Nuxt
      • NLUX (Frontend Only)
      • NLUX + Express.js
  • Using The Platform
    • Action Table
    • Chat Table
    • Knowledge Table
    • Supported Models
      • Which LLM Should You Choose?
      • Comparative Analysis of Large Language Models in Vision Tasks
    • Roadmap
  • 🦉API
    • OpenAPI
    • TS/JS SDK
  • 🦅SDK
    • Flutter
    • TS/JS
    • Python SDK Documentation
      • Quick Start with Chat Table
      • Quick Start: Action Table (Mutimodal)
        • Action Table - Image
        • Action Table - Audio
      • Quick Start: Knowledge Table File Upload
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  1. Using The Platform

Action Table

PreviousNLUX + Express.jsNextChat Table

Last updated 1 year ago

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  1. Go to >> Project >> Action Table

  1. Open up the created table.

  • 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.

  1. Click Update.

  2. Start using the table!

    1. You can also add row through our SDK SDK. at endpoint app.jamaibase.com with auth.

Advanced Usage: Give your LLM Agent Knowledge

  1. 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.

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.

Configure all the Output Columns, by clicking on the of the Output Column and open settings.

On the app.jamaibase.com, in the table view, click

When you are updating the configuration of the Output Column, enable the RAG.

✔️
Demo on Action Table Usage
Specify your prompt
Define your LLM Agent Parameters