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. GETTING STARTED

Welcome to JamAI Base

NextWhy Choose JamAI Base?

Last updated 1 year ago

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JamAI Base Overview

  • Plug Large Language Models into Your Projects as Easily as Firebase—No AI Stack Needed.

    • Approach: Introducing a serverless LLM native database featuring Generative Table. Begin your journey in minutes.

    • Advantage: Bid farewell to the complexities and extra dependencies of platforms like LangChain or LlamaIndex. We simplify your workflow, so you can concentrate on creating amazing applications.

  • Key Feature: Generative Table technology that transforms static database tables into dynamic, AI-enhanced entities capable of generating and interacting with data autonomously.

  • Application: Ideal for developers seeking to rapidly deploy AI-powered features in web and mobile applications, enhancing user experience with minimal coding and reduced development time.

The name JamAI Base is derived from a blend of JamStack, AI, and Database, encapsulating its core functionality and target architecture.

Core Concepts

Generative Table

  • Core Concept: Foundational element of JamAIBase; all tables are types of Generative Tables.

  • Functionality: Uses LLMs to autonomously generate and populate data based on application needs.

Action Table

Facilitates real-time interactions between the application frontend and the LLM backend.

Ideal for orchestrating complex, multi-step LLM workflows with the simplicity of a spreadsheet.

Chat Table

Manages real-time multi-turn conversations for applications like chatbots.

Allows developers to create custom agent (GPTs) that combine instructions and extra knowledge.

Knowledge Table

Manages RAG data and structured metadata.

Serves as an "AI content management system."