Building AI Research Agents: LangChain, RAG, and LangGraph

This fully hands-on, project-based course walks you through building a real-world, production-ready AI-powered Smart Research and Writing Assistant entirely from scratch using LangChain and OpenAI. Every video is code-along, and every concept is applied immediately to one continuous project that grows in complexity across all four modules — mirroring how real AI agents are actually built in production environments. You'll start by setting up a professional development environment and building a foundational chatbot that connects to the OpenAI API, processes queries through prompt templates, and returns structured responses using Pydantic. Next, you'll teach the assistant to act in the real world by integrating Tavily web search, building custom tools with the @tool decorator, StructuredTool, and BaseTool, and implementing the ReAct reasoning pattern so the agent autonomously decides when to search, calculate, or respond. You'll then make it context-aware by adding memory strategies, migrating to LangGraph for full state management, conditional routing, checkpointing, and human-in-the-loop approval for sensitive actions. In the final module, you'll bring the assistant to production quality: adding Retrieval-Augmented Generation (RAG) over uploaded documents with ChromaDB, splitting the system into coordinated Researcher, Writer, and Reviewer sub-agents, building a Streamlit front-end, and deploying the complete containerized system with LangSmith monitoring and safety guardrails. By the end, you'll have a fully functional, portfolio-ready multi-agent assistant you can showcase to employers. The course spans ~20 hours across 4 modules, 12 lessons, and 48 videos, with roughly 5.5 hours of video content. Independent Course Disclaimer Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.