--- title: Progress Agentic RAG Reviews meta_title: 'Progress Agentic RAG Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter reviews by the users' company size, role or industry to find out how Progress Agentic RAG works for a business like yours. aggregate_rating: rating_value: 5.0 review_count: 2 scale: '5' date_modified: '2026-06-25' parent_category: name: Generative AI url: https://www.g2.com/categories/generative-ai --- # Progress Agentic RAG Reviews **Vendor:** Progress Software **Category:** [Large Language Model Operationalization (LLMOps) Software](https://www.g2.com/categories/large-language-model-operationalization-llmops) **Average Rating:** 5.0/5.0 **Total Reviews:** 2 ## About Progress Agentic RAG Progress Agentic RAG is a specialized Software as a Service (SaaS) solution designed to assist businesses in automatically indexing various forms of unstructured data, including documents, files, videos, and audio. This innovative platform features a modular, end-to-end retrieval-augmented generation (RAG) pipeline that effectively transforms unstructured data into verifiable, context-aware answers. By integrating retrieval, validation, and automation into existing workflows, Progress Agentic RAG elevates generative AI from a standalone experiment to a reliable, integrated system that enhances productivity and return on investment (ROI). The modular RAG pipeline is a standout feature of Progress Agentic RAG, enabling rapid and flexible AI deployments without the need for extensive engineering resources. Its fully integrated no-code and low-code design allows users to easily implement ingestion, retrieval, and generation capabilities tailored to their specific needs. This adaptability makes it accessible to a wide range of users, from technical teams to business professionals seeking to leverage AI without deep technical expertise. Targeted at organizations looking to enhance their AI initiatives, Progress Agentic RAG employs advanced retrieval strategies to deliver precise, context-rich answers. With over 30 retrieval strategies, including semantic search, exact match, neighboring paragraph retrieval, and knowledge graph hops, users can access information that is not only accurate but also traceable to its source. This level of detail is crucial for businesses that require reliable data for decision-making and compliance purposes. Another key aspect of Progress Agentic RAG is its semantic chunking and smart segmentation capabilities. By breaking content into semantically coherent units, such as paragraphs or video segments, the solution preserves meaning and reduces noise, ultimately improving answer quality. This approach enhances retrieval accuracy and ensures that users receive contextually relevant information, which is vital in today’s data-driven landscape. Additionally, the platform’s source traceability and citation features build trust in AI-generated answers. By providing included metadata and direct citations, users can verify the origin of responses, supporting compliance and audit requirements. The LLM-agnostic architecture further enhances the solution's flexibility, allowing organizations to choose AI models based on performance, privacy, or budget without the need for retraining or reindexing. This versatility positions Progress Agentic RAG as a valuable tool for businesses seeking to harness the power of AI while maintaining control over their data and costs. ## Progress Agentic RAG Reviews ### 1. Best RAG as a Service out there, with an exceptional team behind it **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Consumer Goods | Enterprise (> 1000 emp.) **Reviewed Date:** April 21, 2026 **What do you like best about Progress Agentic RAG?** I find Progress Agentic RAG to be a truly great solution that works extremely well. It offers plenty of different options that can adapt to any use case, and it works out of the box very well, already delivering great results. Plus, if you want to go deeper, you can definitely improve your particular needs by fine-tuning the model even further to improve specific things you need in your use case. The support from the Progress team is fantastic. They have been helping us immensely in setting things up, taking the right architectural decisions and sharing their knowledge on how to approach certain use cases. They have been Invaluable to get up immediately up to speed and get immediate results. **What do you dislike about Progress Agentic RAG?** Maybe adding a bit more options into the visibility of what users are doing, what they are struggling with, and what problems they're facing. That can maybe help to have a better user experience for people administering the platform. **What problems is Progress Agentic RAG solving and how is that benefiting you?** I use Progress Agentic RAG for all my company’s use cases involving documents, videos, and PDFs. It provides multiple options to adapt to different needs and works out of the box, consistently delivering great results. It’s also worth mentioning the new SharePoint connector, which helps us push documents to Progress Agentic RAG effortlessly. ### 2. Intuitive, Feature-Rich Solution with Room for Log Improvements **Rating:** 5.0/5.0 stars **Reviewed by:** Piyush K. | Enterprise (> 1000 emp.) **Reviewed Date:** April 21, 2026 **What do you like best about Progress Agentic RAG?** I think Progress Agentic RAG is very intuitive and centered around one main job: providing the best answer for questions asked on documents in the knowledge base. I don't have to worry about what reranking method to use, or embedding models, or the chunking strategy—it's all handled for me, giving the right answer. There are also various features around ingestion and retrieval that I like, such as a summarizer that summarizes documents, a question-answer tagger, different tagging mechanisms, and labels. A lot can be done during ingestion with multiple features available. **What do you dislike about Progress Agentic RAG?** I think one small thing is having to get event-based evaluations of each interaction. You can't query those logs via an API; you have to download the whole month's log. I think that's the only thing that's not so great, but the rest of it is absolutely fabulous. **What problems is Progress Agentic RAG solving and how is that benefiting you?** I use Progress Agentic RAG for different use cases, like HR. It intuitively answers questions from documents, handling technicalities like embedding and chunking. The features are robust with ingestion and retrieval tools, summarizing documents and tagging effectively. - [View Progress Agentic RAG pricing details and edition comparison](https://www.g2.com/products/progress-agentic-rag/reviews?open_modal_url=%2Fproducts%2Fprogress-agentic-rag%2Fwishlists%3Fhost_path%3D%252Fproducts%252Fprogress-agentic-rag%252Freviews%26source%3Dsticky_header_pin§ion=pricing&secure%5Bexpires_at%5D=2026-07-19+19%3A11%3A14+-0500&secure%5Bsession_id%5D=d0556fca-2a6e-42b8-b98a-eef7f038dfad&secure%5Btoken%5D=6a53467d536e38339cad25c45cdcdac02235de07fd4390f9b4fff846e38449f8&format=llm_user) ## Progress Agentic RAG Integrations - [Boomi](https://www.g2.com/products/boomi/reviews) - [Dropbox](https://www.g2.com/products/dropbox/reviews) - [Google Workspace](https://www.g2.com/products/google-workspace/reviews) - [Microsoft SharePoint](https://www.g2.com/products/microsoft-sharepoint/reviews) - [Progress OpenEdge](https://www.g2.com/products/progress-progress-openedge/reviews) - [Salesforce Headless 360 Platform (formerly Salesforce Platform)](https://www.g2.com/products/agentforce-360-platform-formerly-salesforce-platform/reviews) - [Solace Platform](https://www.g2.com/products/solace-platform/reviews) - [Zendesk for Customer Service](https://www.g2.com/products/zendesk-for-customer-service/reviews) ## Progress Agentic RAG Features **Scalability and Performance - Generative AI Infrastructure** - AI High Availability - AI Model Training Scalability - AI Inference Speed **Prompt Engineering - Large Language Model Operationalization (LLMOps) ** - Prompt Optimization Tools - Template Library **Cost and Efficiency - Generative AI Infrastructure** - AI Cost per API Call - AI Resource Allocation Flexibility **Integration and Extensibility - Generative AI Infrastructure** - AI Data Pipeline Integration - AI API Support and Flexibility **Security and Compliance - Generative AI Infrastructure** - AI GDPR and Regulatory Compliance - AI Role-based Access Control - AI Data Encryption **Application Development - Large Language Model Operationalization (LLMOps) ** - SDK & API Integrations **Usability and Support - Generative AI Infrastructure** - AI Documentation Quality - AI Community Activity **Model Deployment - Large Language Model Operationalization (LLMOps) ** - Scalability Management **Guardrails - Large Language Model Operationalization (LLMOps)** - Content Moderation Rules **Security - Large Language Model Operationalization (LLMOps)** - Data Encryption Tools - Access Control Management **Gateways & Routers - Large Language Model Operationalization (LLMOps)** - Request Routing Optimization ## Top Progress Agentic RAG Alternatives - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) - 4.3/5.0 (654 reviews) - [Botpress](https://www.g2.com/products/botpress/reviews) - 4.5/5.0 (418 reviews) - [Miro](https://www.g2.com/products/miro/reviews) - 4.6/5.0 (13,140 reviews)