Vector search technology is rapidly advancing, enabling developers to bring context into their data search, transforming the approach to job searching by providing a platform like Restworld's that leverages Astra DB's vector search capabilities. A vector represents text, images, and video in machine space, while an embedding maps data into this format, capturing semantics and context. This technology allows for similarity searches, where distance between vectors represents similarity, and enables chatbots to answer questions based on a user's unique context. Restworld uses this technology to connect workers with job openings, providing AI-powered tools that enable customer success managers to explore their database of workers in a scalable and efficient way. Their platform stores knowledge representation of job positions, focusing on data instead of worker profiles, using collaborative filtering algorithms to connect job positions with suitable workers based on historical data. The use of Astra DB's real-time, serverless, scalable platform was ideal for Restworld's vector search, allowing the company to adapt quickly and efficiently as their data grows. This technology enhances relevance and accuracy in job searching within the hospitality sector, enabling features like semantic search that extract lists of candidates based on specific parameters.