Progress Agentic RAG - Agentic RAG platform for enterprise AI

What is Progress Agentic RAG (formerly Nuclia)

If you've ever tried to find something specific on a corporate website only to get irrelevant results, you're not alone. Traditional keyword search works well when you know exactly what to look for—but it breaks down when your users ask questions in natural language, when your content spans dozens of formats, or when you need to search across scattered knowledge bases. This is the problem that Progress Agentic RAG solves.

Progress Agentic RAG (formerly Nuclia) positions itself as The #1 Agentic RAG-as-a-Service, a retrieval-augmented generation platform specifically designed for AI Agents and enterprise search. Unlike basic keyword matching, this platform understands context, semantics, and intent—delivering answers that actually help your users rather than just listing documents.

What sets it apart is the modular RAG architecture. You can deeply customize every component of the retrieval and generation pipeline, choose from multiple large language models, and deploy flexibly—whether that's fully cloud-based, hybrid, or entirely on-premises. This flexibility matters for organizations with strict data sovereignty requirements or those operating in regulated industries.

The platform is trusted by leading brands across industries. Columbia Business School uses it to help students navigate virtual campuses. Althaia Hospitals, one of Spain's largest hospitals with over 5,000 professionals, relies on it for instant medical protocol retrieval. Financial comparison platforms like BrokerChooser and HelpMyCash leverage its AI capabilities to match users with the right products. These aren't hypothetical use cases—they're real implementations solving real business challenges.

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Core Features of Progress Agentic RAG

You might be wondering what actually makes this platform useful for your team. Let's walk through the capabilities that matter most in practice.

REMi: RAG Pipeline Evaluation is one of the most innovative features you'll find. It's the industry's first quality assessment metric specifically designed for RAG systems. Rather than guessing whether your retrieval and generation are working well, REMi gives you concrete, measurable insights—so you can continuously optimize your AI search experience.

AI Search & Generative Answers go beyond simple document retrieval. The system understands what your users are actually asking for, retrieves the most relevant information, and generates clear, contextual answers. Crucially, it always shows the specific data sources used to generate each answer—so your users can verify and trust the results.

Multiple LLM Support means you're not locked into a single provider. You can work with ChatGPT 4o and 4o mini, Gemini Flash 2.5, Anthropic 2.1 and 3, Mistral Large, Mixtral, and Gemma. If data privacy is paramount, the Nuclia Everest proprietary model offers 100% private, secure inference—your data never leaves your chosen deployment environment.

Named Entity Recognition (NER) automatically identifies and categorizes 16 different entity types—people, organizations, locations, dates, and more. This isn't just for show: the system uses these entities to automatically build knowledge graphs, revealing relationships in your data that would otherwise remain hidden.

AI Classification lets you train custom classifiers for your specific use cases. Whether you need to categorize support tickets, route documents to the right teams, or flag content that needs review, you can define your own labels and apply them at document or paragraph level.

AI Summarization handles long-form content automatically. Videos, lengthy PDFs, meeting recordings—Nuclia can digest them all and produce concise summaries in your preferred style and length.

Prompt Lab gives you a sandbox to test and refine your LLM prompts. You can experiment with different prompt strategies using your own data, compare how different models respond, and validate behavior before deploying to production.

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Technical Architecture and Features

Understanding what's under the hood helps you make informed decisions about whether this platform fits your technical requirements.

The foundation is NucliaDB, an open-source AI Search Database purpose-built for vector storage and knowledge graph capabilities. This isn't a repurposed database—it's architected from the ground up for the unique demands of AI-driven search and retrieval.

When it comes to language models, you have genuine choice. The platform supports an impressive range: ChatGPT 4o and 4o mini, Gemini Flash 2.5, Anthropic Claude 2.1 and 3, Mistral Large, Mixtral, Gemma, and the proprietary Nuclia Everest. For embeddings, you can use Progress's own multilingual model, Google Gecko, or OpenAI's Small and Large models—each optimized for different languages and use cases.

Deployment flexibility is a significant differentiator. You can run everything in the cloud (with data centers in the EU via Google Cloud or in the US via AWS), implement a hybrid approach where some components stay on-premises while others run in the cloud, or opt for 100% on-premises deployment for maximum control. This matters particularly for healthcare, government, and financial services organizations with strict data residency requirements.

On security and compliance, the platform has you covered. SOC 2 Type 2 certification is in place, with ISO 27001 currently in progress. Data is protected with 256-bit AES encryption at rest and SSL encryption in transit. For European organizations, GDPR compliance is built in, and the platform falls under the EU AI Act's "minimal risk" category—meaning no additional regulatory burden.

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Who Is Using Progress Agentic RAG

Seeing how organizations similar to yours use the platform makes it easier to imagine the possibilities. Here are real implementations across different industries.

Healthcare is a great example. Althaia Hospitals, one of Spain's largest hospital networks with over 5,000 healthcare professionals, uses the RAG platform to enable instant medical protocol retrieval. When a nurse or doctor needs to verify the correct procedure in a time-sensitive situation, they get accurate answers in seconds—not a list of documents to manually search through.

Financial services organizations leverage AI-driven product comparison. BrokerChooser and HelpMyCash help users find the right financial products through intelligent Q&A rather than static comparison tables. The result: higher engagement and conversion. SRS Distribution, a US building materials wholesaler, uses it for internal knowledge management across distributed teams.

Education institutions are transforming digital experiences. Columbia Business School (an Ivy League institution) and Barry University use the platform to help students and faculty navigate vast amounts of learning materials. Concurrences, an academic publisher, applies it to make legal and policy content searchable.

Legal and advocacy organizations benefit enormously. COO, Spain's largest trade union with over one million members, uses RAG to automate legal Q&A—answering member questions instantly while reducing the burden on legal staff.

Retail and e-commerce companies improve product discovery. Certantly and Buff Sportswear have implemented AI-powered search that understands what customers are looking for, even when they describe products in their own words—not just matching keywords.

Engineering and specialized knowledge platforms like NAFEMS use it to make technical simulation knowledge accessible. When engineers need specific standards or procedures, they get precise answers rather than hunting through documentation.

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Pricing Plans

Transparent pricing helps you plan your investment and choose the right tier for your organization.

Starter at $700/month is designed for small teams and pilot projects. You get core RAG capabilities, standard support, and enough capacity to validate the platform for your use case before scaling.

Pro at $1,925/month suits growing businesses that need more advanced features, higher limits, and priority support. This is where most mid-size organizations land.

Enterprise pricing is custom, tailored to large organizations with specific requirements—multiple departments, advanced security needs, dedicated infrastructure, or specialized integrations.

Beyond the base plans, you'll pay for token consumption at $0.008 per token. Each month includes 10,000 free tokens to get started without immediate costs.

All plans come with a 14-day free trial, so you can test the platform with your own data before committing.

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Frequently Questions

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Ready to Transform Your Search?

If traditional keyword search is frustrating your users, if your knowledge bases are scattered and hard to navigate, or if you're building AI-powered products that need reliable retrieval—Progress Agentic RAG deserves a close look.

The combination of modular architecture, genuine multi-LLM support, industry-first quality metrics (REMi), and flexible deployment options addresses the real challenges enterprises face. You only need to look at who's using it: hospitals helping doctors find protocols instantly, universities connecting students to learning materials, financial services matching users to products, and trade unions answering member questions around the clock.

Start with the 14-day free trial. Index some of your own data, ask some real questions, and see whether the answers match what your users actually need. That's the most honest way to evaluate whether it's the right fit for your organization.

Resources to explore:

• Pricing Details — plan comparison and token pricing
• Product Capabilities — full feature breakdown
• Security & Compliance — certifications and compliance details
• Customer Case Studies — real-world implementations
• Documentation — technical guides and API references