JamAIBase

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Updated: 14 May 2025

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1015 Stars

The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together seamlessly to build and iterate on AI applications.

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Overview

JamAI Base is an open-source RAG (Retrieval-Augmented Generation) backend platform that combines an embedded database (SQLite) and an embedded vector database (LanceDB) with capabilities for managed memory and RAG. It offers features like built-in LLM, vector embeddings, and reranker orchestration, all accessible through a user-friendly spreadsheet-like UI and a straightforward REST API.

Features

• Embedded database (SQLite) and vector database (LanceDB)
• Managed memory and RAG capabilities
• Built-in LLM, vector embeddings, and reranker orchestration
• Intuitive spreadsheet-like UI
• Simple REST API
• Generative Tables: Transform static tables into dynamic, AI-enhanced entities.
• Action Tables: Enable real-time interactions between frontend and backend systems.
• Knowledge Tables: Act as structured data repositories for enhancing contextual understanding.
• Chat Tables: Simplify the creation and management of intelligent chatbots.
• LanceDB Integration: Efficient management of large-scale multi-modal data.
• Declarative Paradigm: Focus on defining outcomes rather than implementation details.

Installation

To install JamAI Base, follow these steps:

1. Clone the repository from the official GitHub page.

   git clone <repository_url>
   

2. Navigate to the project directory.

   cd JamAI_Base
   

3. Run the installation script to set up the environment.

   ./install.sh
   

4. Start the server to access the UI and API endpoints.

   npm start
   

Summary

JamAI Base is a comprehensive backend platform that combines the power of embedded databases, RAG capabilities, and a user-friendly interface to streamline AI development and management. Its features like generative tables, action tables, knowledge tables, and chat tables cater to various AI application needs, while LanceDB integration ensures efficient data handling at scale. With a focus on simplicity, flexibility, and performance, JamAI Base offers a robust solution for AI-enhanced applications.