Documentation

Technical documentation for InsightAI's enterprise AI infrastructure platform.

Platform Overview

InsightAI is an enterprise AI infrastructure platform designed for autonomous multi-agent systems, persistent memory, and intelligent workflow orchestration. The platform enables organizations to deploy production-grade AI systems that integrate with existing enterprise infrastructure.

Multi-Agent Orchestration

Coordinate multiple specialized AI agents with intelligent routing and parallel execution.

Persistent Memory

Cross-session context retention with semantic retrieval and memory compression.

Reasoning Engine

Advanced reasoning pipelines including chain-of-thought and tree-of-thought strategies.

Enterprise Security

SOC2-ready architecture with RBAC, audit logging, and data isolation.

Architecture Overview

InsightAI is built on a modern cloud-native architecture designed for scalability, reliability, and enterprise deployment.

Technology Stack

Next.js 14 React 18 TypeScript FastAPI Python 3.11+ PostgreSQL Redis Docker Kubernetes

System Components

  • Frontend Layer: Next.js application with React components, real-time streaming via WebSocket/SSE
  • API Gateway: FastAPI backend with JWT authentication, rate limiting, and RBAC
  • AI Runtime: Multi-agent orchestration engine with reasoning pipelines and memory systems
  • Data Layer: PostgreSQL for persistence, Redis for caching, vector database for semantic retrieval
  • LLM Integration: Multi-provider support (Anthropic, OpenAI, local models) with failover and routing

Infrastructure Requirements

The platform requires scalable GPU compute infrastructure for:

  • LLM inference and response generation
  • Vector embedding generation and semantic search
  • Multi-agent reasoning workloads
  • Real-time streaming and parallel execution

API Reference

InsightAI provides a RESTful API for programmatic access to platform capabilities.

Authentication

All API requests require JWT bearer token authentication:

# Request headers Authorization: Bearer <your_api_token> Content-Type: application/json

Core Endpoints

# Chat completion POST /api/v1/chat/completions # Agent orchestration POST /api/v1/agents/execute # Memory operations GET /api/v1/memory/retrieve POST /api/v1/memory/store # Research tasks POST /api/v1/research/query

Response Format

{ "status": "success", "data": { "response": "...", "metadata": { "model": "...", "tokens": 0, "latency_ms": 0 } } }

Deployment Guide

InsightAI supports multiple deployment models to meet enterprise requirements.

Deployment Options

  • SaaS: Fully managed cloud deployment with enterprise SLAs
  • Private Cloud: Deploy on AWS, GCP, or Azure with dedicated resources
  • On-Premises: Air-gapped deployment with full data sovereignty
  • Hybrid: Combination of cloud and on-premises components

Requirements

  • Kubernetes 1.25+ or Docker Compose
  • PostgreSQL 15+
  • Redis 7+
  • GPU compute (NVIDIA A100/H100 recommended for production)
  • Minimum 32GB RAM, 8 vCPUs per node

Security & Compliance

InsightAI is designed with enterprise security and compliance requirements in mind.

Security Features

  • End-to-end encryption (TLS 1.3)
  • Data encryption at rest (AES-256)
  • JWT-based authentication with refresh tokens
  • Role-based access control (RBAC)
  • Comprehensive audit logging
  • Prompt injection protection
  • Rate limiting and DDoS protection

Compliance

  • SOC 2 Type II ready architecture
  • GDPR compliant data handling
  • PIPEDA compliant (Canadian privacy law)
  • Data residency options (Canada, US, EU)

Support & Contact

For technical support, enterprise inquiries, or partnership discussions: