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
  2. Welcome to JamAI Base

Why Choose JamAI Base?

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Last updated 11 months ago

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  • Effortless AI Integration: JamAI Base eliminates the technical complexities of integrating LLM into your web applications. Its intuitive, table-based interface streamlines development, empowering you to focus on creating unique user experiences.

  • Accelerate Your Workflow: Experiment with ease and iterate on your designs at lightning speed. JamAI Base's intuitive Chat, Action, and Knowledge Tables give you the flexibility to rapidly incorporate user feedback and adapt to project requirements.

  • Harness the Power of Top LLMs: Seamlessly connect JamAI Base to cutting-edge Large Language Models like OpenAI GPT-4, Anthropic Claude 3, and Google Gemini. Unlock their advanced capabilities to elevate your applications.

  • Deliver Engaging Real-Time Experiences: Create dynamic, interactive web interfaces with Action and Chat Tables that provide instant, conversational feedback.

  • Take Control of Your AI: JamAI Base's unique AI Content Management system empowers you to fine-tune how your AI applications process information. Customize responses through Knowledge Tables, ensuring the AI behaves precisely the way you envision.

  • Built to Grow: JamAI Base's scalable and serverless architecture effortlessly handle increasing traffic and usage as your application expands.

  • Open Source: JamAI Base is open-source under the Apache 2.0 License. Scale your project freely and avoid vendor lock-in.

Differences Between JamAI Base and Other Platforms

JamAI Base vs. LLM Orchestration Frameworks + VectorDB:

Integrated AI Capabilities and Seamless LLM Integration:

  • JamAI Base: Integrates database functionalities with advanced AI features like direct LLM integration, embedding, reranker, and vector databases. This all-in-one platform facilitates real-time AI interactions and data processing without external tools.

  • Other Platforms: Require additional tools like LangChain or LlamaIndex for full LLM functionality, adding complexity to the development process.

Ease of Use and Setup:

  • JamAI Base: Features a straightforward, table-based interface that simplifies AI integration, allowing developers to focus on application development rather than complex AI configurations.

  • Other Platforms: More demanding in terms of setup for advanced AI features; keeping up with RAG best practices in the fast-evolving LLM field can be challenging.

Comprehensive AI Content Management:

  • JamAI Base: Includes Knowledge Tables for sophisticated AI content management, enabling contextually relevant and personalized responses integrated directly with the database system.

  • Other Platforms: Generally lack specialized AI content management features, which can restrict the ability to provide context-aware AI responses without further customization.

JamAI Base vs. LLM Orchestration Frameworks + VectorDB + Database