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What is Keenable?

Keenable functions as an independent web search platform specifically crafted for AI research facilities, inference systems, agents, and developers who require swift and dependable access to real-time online information. The Search API provides AI systems with a vast repository of over 100 billion documents, engineered for quick retrieval and optimized for high-performance demands of production agents. Agents can explore web pages and extract content using a REST API, MCP server, or command-line interface, all manageable under one account and API key. Committed to enhancing its services, Keenable continuously evaluates and improves search quality using its NEEDLE benchmark, which measures retrieval efficiency among various search services and aligns findings with an oracle ranking based on collective results. For larger-scale AI initiatives, the platform offers specialized search capabilities along with choices for both cloud and on-premises deployment. Moreover, its Time Machine functionality strengthens retrieval options by enabling users to search through historical versions of web pages, providing a richer perspective on past information. This focus on both contemporary and historical data establishes Keenable as an adaptable and powerful resource for advanced AI endeavors, ensuring that users can access the information they need, regardless of the context or timeline.

What is Agent Search on Gemini Enterprise Agent Platform?

Agent Search on Gemini Enterprise Agent Platform is a comprehensive tool that enables organizations to build high-quality, AI-driven search experiences powered by their own data. It delivers Google-level search performance across websites, internal systems, and large datasets, including both structured and unstructured information. The platform enhances traditional search by introducing conversational interfaces that understand user intent and provide context-aware results. As a built-in retrieval augmented generation (RAG) system, it grounds AI responses in enterprise data, improving accuracy and reliability. It streamlines complex processes such as data ingestion, transformation, indexing, and retrieval into a simplified workflow that requires minimal setup. Industry-specific capabilities support specialized use cases in healthcare, media, and commerce, offering tailored search and recommendation features. Developers can customize and extend functionality using APIs for embeddings, ranking, document parsing, and grounded generation. The platform also integrates with vector search technology, enabling advanced semantic matching and recommendation engines. With support for custom embeddings and scalable indexing, it can handle massive datasets efficiently. Users can quickly deploy search functionality into websites through widgets or APIs, enabling immediate improvements in user experience. Built-in tools allow for testing, refinement, and optimization of search performance over time. The system also supports generative AI applications by acting as a reliable data retrieval layer for chatbots and assistants. Overall, it transforms enterprise search into an intelligent, scalable, and highly customizable AI-powered experience.

Media

Media

Integrations Supported

Chat Mitra
ChatGPT
Chatzapbot
Cursor
Gemini
Gemini 3.5 Flash
Gemini 3.7 Flash
Gemini Enterprise
Gemini Enterprise Agent Platform
Google Cloud Document AI
Google Cloud Platform
Ketch
Langflow
LlamaIndex
Mastra AI
Model Context Protocol (MCP)
OpenAI Codex
OpenCode
Visual Studio Code
nanobot

Integrations Supported

Chat Mitra
ChatGPT
Chatzapbot
Cursor
Gemini
Gemini 3.5 Flash
Gemini 3.7 Flash
Gemini Enterprise
Gemini Enterprise Agent Platform
Google Cloud Document AI
Google Cloud Platform
Ketch
Langflow
LlamaIndex
Mastra AI
Model Context Protocol (MCP)
OpenAI Codex
OpenCode
Visual Studio Code
nanobot

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Keenable

Date Founded

2026

Company Location

United States

Company Website

keenable.ai/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/products/gemini-enterprise-agent-platform/agent-search

Categories and Features

Categories and Features

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

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