Neon, a serverless Postgres platform, is being utilized in various AI workflows, offering solutions for vector-based applications, developer tools, and backend support for agents. The platform integrates the open-source pgvector extension, enabling developers to store vector embeddings alongside traditional data for efficient similarity searches and reduced overhead. With features like autoscaling, branching for safe experimentation, and multi-project architecture, Neon enhances performance and isolation for AI applications. Additionally, Neon's MCP Server provides structured API access for database management in developer environments, supporting tools like GitHub Copilot and simplifying tasks such as query tuning and performance monitoring. Neon's serverless capabilities also make it ideal for agentic workflows, allowing fast database provisioning without sign-up requirements, and ensuring cost efficiency through compute suspension and quota controls. This flexibility and ease of integration have made Neon a preferred choice for developers working on AI projects, offering a scalable and economical solution for embedding vector stores, leveraging AI-assisted tools, and powering dynamic agent deployments.