🚀 SuperOptiX Examples

Welcome to the SuperOptiX Examples section! These demos showcase specific technologies and capabilities within the SuperOptiX framework. Each demo focuses on a particular technology or feature, providing hands-on experience with different aspects of the framework.

🎯 Demo Overview

The examples are organized into three main categories:

🤖 Model Backend Demos

Learn how to configure and use different local model backends:

• 🍎 MLX Demo - Apple Silicon optimization with MLX models
• 🦙 Ollama Demo - Easy local model management with Ollama
• 🤗 HuggingFace Demo - Advanced NLP with HuggingFace models
• 🎮 LM Studio Demo - GUI-based model management with LM Studio

🔍 RAG Technology Demos

Explore Retrieval-Augmented Generation capabilities:

• 🔍 RAG ChromaDB Demo - RAG with ChromaDB vector database
• 🚀 RAG LanceDB Demo - High-performance RAG with LanceDB
• 🗄️ Weaviate Demo - Advanced semantic search with Weaviate
• 🎯 Qdrant Demo - Lightning-fast vector search with Qdrant
• 🏗️ Milvus Demo - Enterprise-scale vector database with Milvus

🛠️ Framework Feature Demos

Discover core framework capabilities:

• 🛠️ Tools Demo - Comprehensive tool integration across 20+ categories
• 🧠 Memory Demo - Multi-layered memory system (short-term, long-term, episodic)
• 📊 Observability Demo - Monitoring, tracing, and debugging capabilities

🔌 Observability Integrations

Integrate with external observability platforms:

• 🧪 MLFlow Integration - Experiment tracking and model monitoring
• 🔍 LangFuse Integration - LLM observability and performance tracking

🎯 Technology Focus Matrix

Demo	Primary Technology	Key Features	Use Case
MLX	Apple Silicon Models	Native performance, 4-bit quantization	Apple Silicon development
Ollama	Easy Model Management	Simple setup, cross-platform	Quick local model usage
HuggingFace	Advanced NLP	Transformer models, custom models	NLP research and development
LM Studio	GUI Model Management	Visual interface, Windows-friendly	Desktop model management
RAG ChromaDB	Knowledge Retrieval	Semantic search, document retrieval	Knowledge base queries
RAG LanceDB	High-Performance RAG	Scalable, production-ready	Large-scale deployments
Weaviate	Advanced Semantic Search	Sophisticated similarity algorithms	Academic research, enterprise search
Qdrant	Lightning-Fast Search	Optimized performance, high throughput	Industrial applications, real-time systems
Milvus	Enterprise-Scale RAG	Cloud-native, distributed architecture	Massive-scale deployments, enterprise search
Tools	Tool Integration	20+ categories, specialized tools	Enhanced agent capabilities
Memory	Context Retention	Multi-layered, persistent storage	Conversational AI
Observability	Monitoring & Debugging	Tracing, metrics, dashboard	Production monitoring
MLFlow	Experiment Tracking	Model monitoring, metrics, artifacts	ML lifecycle management
LangFuse	LLM Observability	Token tracking, cost monitoring, feedback	LLM application monitoring

🚀 Getting Started

Prerequisites

1. Install SuperOptiX

   Bash

   pip install superoptix
   

2. Choose Your Demo

3. Start with Ollama for easiest setup
4. Use MLX if you have Apple Silicon
5. Try RAG for knowledge retrieval
6. Explore Tools for enhanced capabilities

Quick Start Pattern

Each demo follows this pattern:

Bash

# 1. Install model
super model install <model_name>

# 2. Start server (if needed)
super model server <backend> <model_name>

# 3. Pull and run demo
super agent pull <demo_name>
super agent compile <demo_name>
super agent run <demo_name> --goal "Your question here"

🎯 Learning Path

Beginner Path

1. Ollama Demo - Learn basic model setup
2. Tools Demo - Explore tool integration
3. Memory Demo - Understand context retention

Intermediate Path

1. MLX Demo - Apple Silicon optimization
2. RAG ChromaDB Demo - Knowledge retrieval
3. Observability Demo - Monitoring and debugging

Advanced Path

1. HuggingFace Demo - Advanced NLP capabilities
2. LM Studio Demo - GUI model management
3. RAG LanceDB Demo - Production-scale RAG
4. MLFlow Integration - Experiment tracking and monitoring
5. LangFuse Integration - LLM observability and cost tracking

🔧 Customization Guide

Each demo serves as a template for building custom agents:

Model Backend Customization

• Change models in language_model.model
• Adjust performance settings (temperature, max_tokens)
• Configure different backends (mlx, ollama, huggingface, lmstudio)

RAG Customization

• Modify retrieval settings (top_k, chunk_size)
• Change vector databases (chroma, lancedb, weaviate, qdrant, milvus)
• Adjust embedding models

Framework Feature Customization

• Enable/disable specific tools
• Configure memory settings
• Adjust observability levels
• Integrate external observability platforms (MLFlow, LangFuse)

🚨 Troubleshooting

Common Issues

1. Model Not Found

   Bash

   # Check available models
   super model list --backend <backend>
   
   # Install required model
   super model install <model_name>
   

2. Server Not Running

   Bash

   # Check server status
   curl http://localhost:<port>/health
   
   # Start server
   super model server <backend> <model_name>
   

3. Demo Not Working

   Bash

   # Check agent status
   super agent inspect <demo_name>
   
   # View logs
   super agent logs <demo_name>
   

Getting Help

Bash

# General help
super --help

# Model help
super model --help

# Agent help
super agent --help

📚 Related Resources

• Quick Start Guide - Get up and running quickly
• LLM Setup Guide - Complete model setup instructions
• Agent Development - Build custom agents
• Tool Development - Create custom tools
• RAG Guide - RAG implementation guide
• Memory Guide - Memory system guide
• Observability Guide - Monitoring and debugging
• MLFlow Integration - MLFlow integration guide
• LangFuse Integration - LangFuse integration guide

🎉 Next Steps

After exploring the demos:

1. Build Custom Agents - Use demos as templates for your specific use cases
2. Combine Technologies - Mix and match different technologies
3. Scale to Production - Deploy optimized agents for production use
4. Contribute - Share your custom agents and tools with the community

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Ready to explore SuperOptiX capabilities? Choose a demo and start building! 🚀