Zeta Alpha can accelerate discovery and research. Accurately searching through historical lab reports - and even automating writing them - seems like a strong starting point, especially since it’s not a chore that scientists enjoy.| Zeta Alpha
Retrieval-Augmented Generation (RAG) is powering the current wave of AI applications, from multimodal question answering and technical document summarization to streamlining knowledge-intensive work flows. But bringing these applications to production quickly, effectively, and with a clear path to ROI is hard.| Zeta Alpha
AI agents are only as useful as the tools they can securely and reliably access. The Model Context Protocol (MCP) standardizes how agents talk to external tools and data sources, and Zeta Alpha's Agents SDK offers a fast path from prototype to production, with streaming, tool execution, configuration, and deployment options out of the box.In this guide, we'll bootstrap a minimal chat agent, expose it over a REST API, and connect it to an MCP server with just a few lines of code.Getting StartedWe| Zeta Alpha
