Flyte & Union.ai Tutorials

Tutorials and examples for building AI agents, ML pipelines, and data workflows with Flyte 2.

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Featured

Example	Description
LangGraph ReAct Agent	Build a ReAct agent with LangGraph + OpenAI on Flyte
Stable Diffusion	Generate images from text prompts with SDXL Turbo on GPU
DuckDB ETL	Extract and transform data with DuckDB SQL
Fraud Detection with Feast	Real-time fraud scoring with Feast feature store + XGBoost

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Get Started

Tutorial	What you'll learn
Flyte Basics	Flyte 2 fundamentals — tasks, pipelines, error handling, TaskEnvironment, ReusePolicy, map()
LangGraph ReAct Agent	Build a ReAct agent with tools in a single file
Stable Diffusion	GPU inference with Flyte reports
Image Classifier	Fine-tune ResNet18 on HuggingFace dataset with PyTorch
DuckDB ETL	Data pipeline with DuckDB SQL and Flyte reports
Snowflake ETL	ETL pipeline with the Snowflake connector
Flyte Local Dev	Local dev features — TUI, caching, reports, tracing, serving (no cluster needed)
Fraud Detection with Feast	Fraud scoring pipeline with Feast feature store, XGBoost, and real-time serving

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Agents

Tutorial	Description
LangGraph ReAct Agent	Single-file ReAct agent with LangGraph
Planner Multi-Agent System	Scalable planner multi-agent system
ReAct Multi-Agent System	Adaptive ReAct multi-agent system
Reflection Multi-Agent System	Self-improving reflection agents
Debate Multi-Agent System	Multi-agent debate pattern
Manager Multi-Agent System	Manager-worker agent delegation
Sequential Multi-Agent System	Sequential agent pipeline
LangGraph Tutorial	In-depth LangGraph integration with Flyte

MCP

Tutorial	Description
MCP Recipe Assistant	Build and deploy a recipe assistant MCP server on Union

ML / AI

Tutorial	Description
Fraud Detection with Feast	Fraud scoring pipeline with Feast feature store, XGBoost, and real-time serving
Stable Diffusion	Image generation with SDXL Turbo
Image Classifier	Fine-tune ResNet18 on Beans dataset

Data

Tutorial	Description
DuckDB ETL	SQL-based data pipeline with DuckDB
Snowflake ETL	ETL with Snowflake connector

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Setup

# Clone the repository
git clone https://github.com/unionai/workshops
cd workshops

# Navigate to any tutorial
cd tutorials/starter-examples/langgraph-react-agent

# Create virtual environment and install dependencies
uv venv .venv --python 3.11
source .venv/bin/activate
uv pip install -r requirements.txt

Flyte Cluster (for remote runs)

flyte create config \
    --endpoint <your-endpoint> \
    --auth-type headless \
    --builder remote \
    --domain development \
    --project flytesnacks

Don't have a cluster? Request access at flyte.org.

Run examples

Remote:

uv run flyte run langgraph_react_agent.py agent --request "What is 12 * 7 plus 3?"

Local:

uv run flyte run --local langgraph_react_agent.py agent --request "What is 12 * 7 plus 3?"

Local with TUI:

uv pip install textual

uv run flyte run --local --tui langgraph_react_agent.py agent --request "What is 12 * 7 plus 3?"

Start TUI dashboard:

uv run flyte start tui