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What is Progress Agentic RAG?

Progress Agentic RAG is a Software as a Service (SaaS) solution that significantly improves Retrieval-Augmented Generation by automatically organizing, searching, and generating AI-driven insights from various forms of business information, including documents, emails, videos, and presentations. This platform effectively integrates RAG with intelligent workflows capable of reasoning, classification, summarization, and inquiry response, all while delivering traceable and verifiable results, eliminating the need for users to construct or oversee their own RAG framework. Its modular design functions as a no-code RAG-as-a-Service, promoting AI readiness in organizations by enabling the extraction of contextual intelligence and business insights through natural language queries, with an emphasis on quality-focused output metrics. Additionally, it effortlessly connects with any prominent Large Language Model (LLM) and supports multilingual and multimodal content for effective indexing and retrieval. Among its notable features are AI-driven summarization and classification, the ability to generate question-and-answer pairs from enterprise data, and a Prompt Lab facilitating the testing of LLM behavior with tailored prompts. The platform is also created to improve user experience by streamlining intricate tasks, thus ensuring that organizations can unlock the full potential of their data with ease. Ultimately, Progress Agentic RAG empowers businesses to harness their information effectively, driving insightful decision-making and operational efficiency.

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

Gemini
Amazon
Amazon S3
Chat Mitra
Dropbox
GPT-4o
GPT-4o mini
Gemini 2.5 Flash
Gemini 2.5 Flash Native Audio
Gemini 3.5 Flash
Gemini Enterprise Agent Platform
Google Cloud Document AI
Google Cloud Platform
HTML
Microsoft Azure
Microsoft SharePoint
Mistral AI
OpenAI
Slack
Zendesk

Integrations Supported

Gemini
Amazon
Amazon S3
Chat Mitra
Dropbox
GPT-4o
GPT-4o mini
Gemini 2.5 Flash
Gemini 2.5 Flash Native Audio
Gemini 3.5 Flash
Gemini Enterprise Agent Platform
Google Cloud Document AI
Google Cloud Platform
HTML
Microsoft Azure
Microsoft SharePoint
Mistral AI
OpenAI
Slack
Zendesk

API Availability

Has API

API Availability

Has API

Pricing Information

$700 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

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

Progress Software

Company Location

United States

Company Website

www.progress.com/agentic-rag

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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