How We Made That App: Igor Jablokov
Explore the future of AI with Pryon Founder Igor Jablokov on this episode of How We Made That App, hosted by SingleStore CMO, Madhukar Kumar.
Read this guide to learn:
Enterprise RAG (Retrieval-Augmented Generation) builds on standard RAG technology to address the complexity and scale of large organizations.
In a typical RAG workflow, additional context is added to the input of LLMs to help ground their output from preselected and specially processed sources. Enterprise RAG solutions are designed to integrate seamlessly with internal systems and extract information from diverse, unstructured data stored across an enterprise.
An enterprise RAG architecture enables businesses to power generative AI applications at scale, maintaining stronger control over what data goes in and what responses come out. The result? Smarter decision-making backed by enterprise-grade performance and robust security measures.
An enterprise-ready RAG system offers several powerful advantages for large organizations. Benefits include:
While it may seem tempting to roll out a RAG system with just a few lines of code and open-source libraries, enterprises often find themselves running into a wall when trying to scale.
The ease of prototyping can create a false sense of security, making it seem like RAG is a plug-and-play solution. But when you move from proof of concept to enterprise-scale deployment, the hurdles become far more complex. Here's why:
By recognizing these challenges early, your organization can avoid the trap of reactive troubleshooting and instead build a RAG architecture that’s not only effective but also scalable, secure, and future-proof.
How do you build a RAG solution that can handle enterprise-level complexity and performance standards?
We’ve identified five core principles to guide any enterprise RAG implementation.
Whether your data lives in Google Drive, SharePoint, or a combination of systems, your enterprise RAG solution must accurately ingest it.
What to focus on:
Enterprise RAG isn’t just a search tool—it’s designed to understand the precise intent behind a query.
What to focus on:
It’s critical that users of an enterprise RAG application receive verified, relevant answers they can trust.
What to focus on:
Enterprise users want more than just information—they want answers delivered with clarity and speed.
What to focus on:
Enterprise stakeholders demand solutions that safeguard sensitive data and adapt to existing infrastructure.
What to focus on:
We designed Pryon RAG Suite to meet enterprise-scale challenges head-on. Our platform equips you with production-grade ingestion, retrieval, and generation tools right out of the box.
We know every organization is different, and that’s why Pryon RAG Suite adapts to your needs while safeguarding your data. From deployment flexibility to unmatched ingestion and retrieval capabilities, we help build resilient, high-performing systems tailored for enterprises.
Take the first step—request a demo today. Learn how our proven solutions enable smarter, faster decision-making.