The original title is "Building Your First AI Agent in 2026: A Complete Hands-On Guide"

Short summary

Learn to build a research assistant AI agent using LangChain and Python in this hands-on tutorial. The guide covers setup, core concepts (tools, LLM, agent types), and production patterns like memory, error handling, and retries. Full working code example lets you implement a web-search agent that can synthesize information—ideal for developers new to agentic AI systems.

• •LangChain framework makes agent development accessible to Python developers
• •Practical agent handles research tasks: search, synthesize, answer
• •Production-ready patterns included: memory, error handling, logging, exponential backoff

Generated with AI, which can make mistakes.