TL;DR
A collection of 28 code-first tutorials covering all topics needed to deploy GenAI agents from prototype to production.
Key features
Stateful Workflows: Build complex state management and workflows using LangGraph
Vector Memory: Implement long-term memory using vector DBs like Chroma, FAISS
Real-time Web Search: Integrate search APIs like Tavily, SerpAPI
Docker Deployment: Containerization and orchestration guides
Security Guardrails: Input validation, output filtering, prompt injection defense
GPU Scaling: Multi-GPU setup and inference optimization
Multi-Agent Orchestration: Collaboration and communication patterns among multiple agents
Observability: Logging, monitoring, tracing (e.g., LangSmith)
Evaluation: Agent performance evaluation and regression testing
UI Development: Frontend building with Streamlit, Gradio
When to use it
Developers deploying GenAI agents as real services
Researchers learning modern agent frameworks like LangGraph, LangChain
When solving security, scalability, and observability issues in production environments
When designing and orchestrating multi-agent systems