All about LangGraph!
This lesson demonstrates building a conversational AI agent using Supabase edge functions and Langchain, integrating OpenAI and external APIs for enhanced functionality. The agent manages conversation state, interacts with a CLI, and leverages a Supabase database for persistent memory, showcasing a practical serverless application.
This lesson demonstrates building cost-effective conversational agents using Supabase Edge Functions, emphasizing the crucial role of persistent storage and thread IDs for maintaining context across multiple interactions. By leveraging Supabase's database and Edge Functions, developers can create efficient and scalable agent workflows that retain conversation history and metadata, ensuring smooth and continuous user experiences.
This lesson teaches you to build robust AI agents using LangChain's LangGraph Functional API, simplifying complex workflows with features like human-in-the-loop feedback and checkpointing for seamless interruption and resumption. Master agent-based system design, leveraging functional programming principles and LangGraph's powerful workflow management capabilities for creating adaptable and resilient AI applications.
