Skip to content

SlavH/Nairi

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

115 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Nairi: The AI Ecosystem

Nairi

Nairi is an advanced, modular AI assistant platform designed to bridge human knowledge and digital transformation. It provides a comprehensive, scalable interface for interacting with multiple AI providers, building custom agents, and managing complex AI-powered workflows.


🚀 Core Pillars

1. NairiBook: Generative Knowledge Engine

NairiBook is the heart of the ecosystem, designed for Generative Knowledge Expedition. We believe that static, linear PDF documentation belongs to the past.

  • Knowledge-to-Space Mapping: Transforms dense, unstructured document data into interactive, explorable 3D knowledge worlds.
  • Interactive Expedition: Enables users to "walk through" technical documentation, making abstract concepts tangible via AI-driven simulations and 3D visualization.
  • Deep Research: Provides personalized AI mentorship on specific domains using Retrieval-Augmented Generation (RAG).

2. Intelligent Agent Infrastructure

Nairi provides a robust framework for building and deploying autonomous agents capable of:

  • Workflow Automation: Manage multi-step tasks across different AI models.
  • Model Agnostic Routing: Seamlessly switch between top-tier AI providers to optimize for cost, speed, or reasoning capabilities.
  • Context-Aware Memory: Persist knowledge across sessions to ensure deep, consistent interactions.

🏗️ Architecture & Integration

The Nairi ecosystem is built with a decoupled architecture ensuring scalability and flexibility:

  • Frontend: Next.js 16 + React 19 + TypeScript for a blazing-fast, type-safe user experience.
  • Engine: Modular backend powered by FastAPI, capable of running specialized engines like NairiBook.
  • Data Layer: Vector storage for RAG and structured knowledge graphs for semantic relationships.

NairiBook Integration

NairiBook plugs directly into the core Nairi platform, treating the knowledge base as a dynamic asset. For technical implementation details, refer to the NairiBook Integration Guide.


📑 Project Documentation


🌐 Get Started

Explore the ecosystem in action:


🛠️ Built with

Bridging human knowledge and digital transformation. EOF

About

Nairi - Reality Executor

Resources

Security policy

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors