CrewAI is an open-source Python framework designed for orchestrating and managing collaborative autonomous AI agents, which are organized into "crews" for task completion, unlike single-agent systems. Each agent within a crew has specific roles, goals, and tools, making CrewAI suitable for specialized problem-solving and decision-making. Despite its robust multi-agent architecture, CrewAI's reliance on pre-trained LLMs presents limitations, such as a lack of real-time awareness, which can lead to outdated answers. To enhance context-awareness and accuracy, a Retrieval-Augmented Generation (RAG) workflow can be integrated, allowing agents to access fresh web data through APIs like Bright Data’s SERP API. This integration enables CrewAI agents to perform real-time search queries, overcoming the challenges of scraping Search Engine Results Pages (SERPs) and providing more precise, timely responses. The tutorial outlines steps for setting up CrewAI, integrating the SERP API, and creating agents and tasks to build an intelligent system capable of generating insightful reports from current web data, demonstrating an effective approach to expanding AI capabilities with external data sources.