In response to the challenge of managing and scaling knowledge within enterprises and startups, a team at Retool developed an AI-powered enterprise search tool to streamline access to information and reduce redundancy. The tool integrates diverse internal data sources into a consolidated knowledge base, leveraging Retool, GPT-4, and a vector database to enhance accessibility for sales and engineering teams. By employing in-context learning, the system allows users to query a unified knowledge base, thereby reducing reliance on individual expertise and improving efficiency. The search tool's development involved creating a knowledge database from sources like Slack, Confluence, and public documentation, and utilizing vector embeddings to facilitate effective search capabilities. This innovative approach enhances team productivity and customer support by enabling rapid access to information, thus transforming the way Retool's field engineering team tackles complex technical questions and contributes to a more collaborative working environment.