How to use Deep Research with the Gemini API

2026-04-29 · Source: philschmid.de - RSS feed · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Data Science & Analytics · Depth: Intermediate, medium

Summary

Google has released new versions of its Gemini Deep Research Agent, `deep-research-preview-04-2026` and `deep-research-max-preview-04-2026`, available exclusively through the Interactions API. This agent autonomously plans, searches, and synthesizes long-horizon research tasks into detailed, cited reports, operating asynchronously in the background. Key new features include collaborative planning for refining research plans, native generation of charts and infographics, and the ability to connect external tools via the Model Context Protocol (MCP) server. It also supports extended tooling like Google Search, URL Context, Code Execution, and File Search, alongside multimodal research grounding using images, PDFs, and audio. Real-time streaming of research progress, including agent thinking summaries and visuals, is also supported.

Key takeaway

For AI Engineers building applications requiring extensive, cited research, the Gemini Deep Research Agent offers a powerful, asynchronous solution. You should explore its collaborative planning feature to guide the agent's research direction and integrate custom data sources via MCP servers to enhance its capabilities. Consider using `deep-research-max-preview-04-2026` for maximum comprehensiveness in automated context gathering and synthesis.

Key insights

The Gemini Deep Research Agent automates complex research tasks, offering collaborative planning and multimodal input.

Principles

• Asynchronous execution for long-running tasks
• Modular tooling for flexible research scope

Method

Initiate a background research task, optionally refine the plan collaboratively, and then execute to generate a detailed report, with options for visualizations and real-time streaming.

In practice

• Use `deep-research-preview-04-2026` for speed
• Set `visualization="auto"` for charts
• Integrate custom data via MCP servers

Topics

• Gemini Deep Research Agent
• Interactions API
• Collaborative Research Planning
• Multimodal Research Grounding
• Model Context Protocol

Best for: AI Engineer, AI Scientist, Research Scientist

Related on AIssential

• Getting Started with Gemini Deep Research API — The Gemini Deep Research agent enables complex, steerable research tasks and integrates with other Gemini models for visualization and translation.
• Google launches Deep Research and Deep Research Max agents to automate complex research — Google's new Deep Research agents automate complex research, integrating web and proprietary data with multimodal input.
• Google Deep Research Max: Build Autonomous AI Research Agents in Minutes — Deep Research Max is an autonomous AI agent for comprehensive, cited research and native data visualization via a single API call.
• Google launches Deep Research agents for enterprise workflows — Google's new Deep Research agents integrate diverse data sources and multimodal inputs for enterprise-grade autonomous research.
• Gemini for Science: AI experiments and tools for a new era of discovery — Gemini for Science leverages AI agents to automate complex research tasks, significantly accelerating scientific discovery and exploration.
• Build an AI Research Agent with Google Interactions API & Gemini 3 — Google's Interactions API enables stateful, multi-phase AI agents by managing server-side context and background execution.

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