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GoogleGuangsha ShiAnnouncement
Expanding Choice in Gemini Enterprise Agent Platform: Introducing Grounding with Parallel Web Search
Summary
Gemini Enterprise Agent Platform now natively integrates Parallel Web Systems as a web-grounding provider, expanding developers’ choice of sources for real-time, verifiable information. Grounding with Parallel Web Search connects Gemini models to Parallel’s structured, LLM-optimized search results, combines the provider’s web index with Gemini’s prompt decomposition and synthesis, and adds precise citation annotations. The capability is available through the Gemini API and Agent Studio, and can be subscribed to through Google Cloud Marketplace with usage charged on an existing Google Cloud invoice; zero data retention is available for sensitive workloads. Developers can make programmatic calls at scale, extract and cache web data, post-process results with other LLMs, and build catalog enrichment, autonomous-agent, and multi-agent workflows. Setup requires subscribing, accepting the terms, reviewing pricing, and selecting Parallel Web Search under Agent Studio’s partner-grounding settings.
Context
As generative AI agents take on tasks such as KYC checks, catalog enrichment, real-time news analysis, and corporate due diligence, the source says factual accuracy and access to verifiable, real-time information have become increasingly important. Developers also need more flexibility in how Gemini models are grounded.
Approach / What changed
Parallel Web Search is integrated into Gemini Enterprise Agent Platform through the Gemini API, Agent Studio, and Google Cloud Marketplace. It combines Parallel’s web index and search API with Gemini’s ability to decompose prompts and synthesize relevant results, while supporting citations, programmatic access, data extraction and caching, post-processing with other LLMs, and optional zero data retention.
Takeaways
Parallel Web Search provides Gemini responses with precise citation annotations tied to real-time public web results.
Developers can extract and permanently store web data for catalog attributes, vendor databases, and other internal datasets.
Search results can be passed to different LLMs, enabling multi-agent systems with task-specific sub-agents and a central orchestrator.
Source and freshness
- Source
- developers.googleblog.com
- Published
- Added to Yomu
Summaries are generated from the original by a language model. Check the original before relying on it.
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