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Average Ratings 0 Ratings
Description
Agent Search on Gemini Enterprise Agent Platform is an advanced search solution that brings Google-level search capabilities to enterprise data and applications. It allows developers to create intelligent search experiences for websites and internal systems using both structured and unstructured data. By incorporating generative AI, the platform replaces basic keyword matching with conversational and context-aware search results. It functions as a ready-to-use retrieval augmented generation (RAG) system, grounding AI responses in enterprise data for improved accuracy. The platform simplifies complex backend processes such as ETL, indexing, and embedding generation, reducing development time significantly. It offers industry-specific solutions for sectors like healthcare, media, and retail, enabling more personalized and relevant search experiences. Developers can also build custom solutions using APIs for vector search, document parsing, and ranking. The integration with vector databases allows for advanced semantic search and recommendation systems. With minimal setup, users can deploy search engines directly into websites or applications. Continuous refinement tools help optimize search performance and relevance. Overall, it empowers businesses to deliver faster, smarter, and more engaging search experiences powered by generative AI.
Description
Keenable gives AI agents live web search from an index it crawls and ranks itself: 100B+ documents, under 250ms p95 in US East.
Agents get two tools: search_web_pages returns ranked results with title, URL and snippet, filtered by publish date, crawl date or site. fetch_page_content returns any page as clean markdown. One API key covers the REST API, the MCP server and the CLI for macOS, Linux and Windows. Integrations include LangChain, LlamaIndex, Haystack, Mastra, Vercel AI SDK and NVIDIA NeMo Agent Toolkit.
Quality is measured in public on NEEDLE, a benchmark rerun daily across search providers against an oracle ranking pooled from their results.
AI labs and inference platforms can move to dedicated capacity from $1 per 1,000 requests at 100 RPS, in the cloud or on-premises. Time Machine, in early access, rewinds both the corpus and the ranking to a past moment with one parameter, query_time.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Claude
No
Claude Code
No
Convex
No
Dify
No
Gemini 3.5 Flash-Lite
Yes
Gemini 3.6 Flash
Yes
Gemini 3.8 Flash Cyber
Yes
Gemini Enterprise
Yes
Gemini Enterprise Agent Platform
Yes
Google Cloud Document AI
Yes
Integrations
Claude
Yes
Claude Code
Yes
Convex
Yes
Dify
Yes
Gemini 3.5 Flash-Lite
No
Gemini 3.6 Flash
No
Gemini 3.8 Flash Cyber
No
Gemini Enterprise
No
Gemini Enterprise Agent Platform
No
Google Cloud Document AI
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$4 / 1000 requests
For AI Agent builders and AI Enthusiasts: $4 / 1000 requests
For AI Labs and Inference platforms: $1 / 1000 requests at 100 RPS+
For AI Labs and Inference platforms: $1 / 1000 requests at 100 RPS+
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/products/gemini-enterprise-agent-platform/agent-search
Vendor Details
Company Name
Keenable
Founded
2026
Country
United States
Website
keenable.ai/
Product Features
Enterprise Search
AI / Machine Learning
No
Faceted Search / Filtering
No
Full Text Search
No
Fuzzy Search
No
Indexing
No
Text Analytics
No
eDiscovery
No