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Learn how to architect AI applications using proven patterns and best practices. These guides cover the most common implementation patterns from simple integrations to complex multi-agent systems.

Simple Deployment

The most straightforward way to integrate LLM calls through Orq.ai as an AI Gateway with unified routing and monitoring.
BeginnerDeployment

Chatbot Architecture

Build conversational AI for customer support with memory, context awareness, and intelligent escalation handling.
BeginnerConversational

Simple RAG System

Implement basic Retrieval Augmented Generation to ground LLM responses in your knowledge base for accurate, context-aware answers.
IntermediateRAG

Advanced RAG System

Build sophisticated RAG systems with advanced retrieval strategies, reranking, hybrid search, and query optimization.
AdvancedRAG

AI Agent Architecture

Create autonomous AI agents with tool calling, memory management, and multi-agent coordination for complex workflows.
AdvancedAgents

Agents Framework Integration Guide

Integrate Orq.ai with popular agent frameworks like LangGraph, CrewAI, and AutoGen for enhanced observability and control.
AdvancedAgents

AI Gateway vs Configuration Management

Understand the differences between using Orq.ai as an AI Gateway versus a configuration management platform.
BeginnerConceptual