Progress Agentic RAG: AI Retrieval Software
Progress Agentic RAG helps organizations and developers ground AI responses in authoritative data. It is designed for teams that need to help reduce AI hallucinations in mission-critical workflows.
At a glance
- Category
- Productivity
- Best for
- Enterprise organizations, Government agencies, Technical AI development teams, Regulated industries
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Knowledge Discovery and Enterprise Search, Deep Research and Intelligence Analysis, AI-Powered Decision Support, Regulated Industry AI Deployment
- Official website
- www.progress.com
Progress Agentic RAG is a modular retrieval-augmented generation (RAG) platform delivered as a service. It is designed to connect AI agents to unstructured data, helping ensure that generative AI outputs are based on enterprise information rather than general training data.
The tool is intended for enterprise businesses, government agencies, and IT teams. It supports deployment options including cloud, hybrid, and on-premises environments, which may support organizations with data sovereignty requirements.
By using semantic enrichment and knowledge graphs, the platform helps AI systems identify relationships and context within data. This approach is intended to help make AI responses more accurate and traceable for professional use cases.
Buyers should confirm their current data infrastructure and technical resources, as the tool is positioned for use within enterprise environments.
Key Features
Provides modular retrieval functionality that allows AI agents to pull information from various unstructured data formats.
Helps AI understand relationships, intent, and meaning beyond simple keywords or vectors.
Includes fine-grained access controls, lineage, and policy enforcement for AI workloads.
Supports the ability to run AI on-premises, in hybrid setups, or in the cloud.
Grounds AI responses in authoritative enterprise data to help limit unverifiable responses.
Use Cases
Unifying enterprise knowledge to help employees and partners find answers grounded in trusted data.
Supporting the exploration of large volumes of complex or regulated information for research purposes.
Providing recommendations based on governed enterprise data that are aligned with policy and ready for audit.
Deploying traceable AI answers for sectors such as healthcare, financial services, and government.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It is a RAG-as-a-Service platform that provides AI agents with the ability to retrieve information from various unstructured data formats to ensure responses are grounded in enterprise data.
The platform uses semantic retrieval-augmented generation (RAG) to help ensure AI responses are derived from authoritative enterprise data sources and governed by access controls.
Yes, the platform supports cloud, hybrid, and fully on-premises deployments to help organizations maintain data sovereignty.
It is designed for organizations needing enterprise-grade AI, particularly those in data-intensive or regulated environments like government and healthcare.
Source category: Productivity
Source subcategory: AI Development Platform
