High-throughput, low-cost AI agents with Gemini Flash on Langbase

Building AI agents capable of autonomously managing their operations and external tools typically requires navigating integration and infrastructure hurdles. Langbase eliminates the burden of managing these underlying complexities, providing a platform to create and deploy serverless AI agents powered by models like Gemini, all without a framework.

Since the release of Gemini Flash, Langbase users have quickly realized the performance and cost advantages of using these lightweight models for agentic experiences.

The Langbase platform provides access to Gemini models via the Gemini API, enabling users to choose fast models that can handle complex tasks and process vast amounts of data. With low latency being critical to delivering a smooth, real-time experience, the Gemini Flash model family is particularly suited to build user-facing agents.

In addition to 28% faster response times, platform users experienced a 50% reduction in costs and 78% increase in throughput for their operations when using Gemini 1.5 Flash. The ability to handle a large volume of requests without compromising performance makes Gemini Flash models an obvious choice for high-demand applications for use cases such as social media content creation, research paper summarization, and active analysis of medical documents.

Langbase is a serverless, composable AI agent development and deployment platform that enables the creation of serverless AI agents. It offers fully managed, scalable semantic retrieval-augmented generation (RAG) systems known as “memory agents.” Additional features include workflow orchestration, data management, user interaction handling, and integration with external services.

Powered by models like Gemini 2.0 Flash, “pipe agents” adhere to and act upon specified instructions and have access to powerful tools including web-search and web-crawling. On the other hand, memory agents dynamically access relevant data to generate grounded responses. Langbase’s Pipe and Memory APIs enable developers to build powerful features by connecting powerful reasoning to new data sources, expanding the knowledge and utility of AI models.

By automating complicated processes, enhancing workflow efficiency, and providing users with highly personalized experiences, AI agents open up possibilities for more powerful applications. The combination of powerful reasoning, low costs, and faster speeds makes Gemini Flash models a preferred choice for Langbase users. Explore the platform to start building and deploying highly efficient, scalable AI agents.