In partnership with
Your data is a goldmine. It’s a big part of your moat.
It’s trapped.
RAG unlocks it.
Retrieval-Augmented Generation (RAG) transforms your documents, data and existing applications. It delivers precise, AI-powered answers. No complex searching. Just results. This isn’t a chatbot. It’s your data, working smarter.
Why RAG Matters Now
Unstructured data clogs your business. PDFs. Reports. Customer notes. RAG makes them usable.
How?
Searches your data instantly.
Feeds AI to answer accurately.
Saves time, boosts decisions.
Executives, take note:
Speed: A retailer streamlined support with RAG.
Insights: Leaders query complex data effortlessly.
Customers: Support teams answer faster and better.
RAG fits any industry. Finance. Healthcare. Manufacturing. Your data, your advantage.
Quick, hard-hitting business news.
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RAG in Action: AgileBrain’s Success
Sprinklenet built a custom RAG solution for AgileBrain. It connected their existing unique web application to their vast corpus of domain-specific, proprietary data, turning static application results into dynamic, rich, conversational-style insights.
Watch a clip from our recent webinar with AgileBrain’s CEO:
View key insights in our full blog post: Architecture & Implementation Case Study
Want more? Stay tuned for our next enterprise AI webinar, which we’ll announce via this newsletter.
Agentic RAG: The Future
Agentic RAGs go further. They think ahead. They tackle complex questions and suggest actions. Need retention strategies? They analyze data, then recommend steps.
Think of them as AI analysts. Always on. Always strategic.
RAG Workflow: Simplified
Below, see a high-level view of how RAG works.
User Query → Data Store → Retrieval → AI Model → Answer.
RAG: From Data to Decisions
AI can fix inefficiencies. That part’s obvious. The real opportunity is in building transformative strategies that drive growth for the next decade. It’s an incredible time to be innovating.
🗓️ Noteworthy Upcoming Events
AI World Congress 2025 | Databricks Data & AI Summit | Enterprise AI Forum |
|---|---|---|
June 25-26, 2025 | July 8-10, 2025 | August 12, 2025 |
London, UK | San Francisco, CA | Virtual |
🕚 Balanced & Insightful
RAG excels with scattered data. Start by auditing your data quality. Ensure security—RAG can stay on-premises or live in the cloud.
Sprinklenet provides a fully managed service for customized RAG solutions when needed.
The reward? A competitive edge. But set clear goals. Partner wisely. Test a pilot, then scale.
📰 AI Trends & News
Global AI Challenges, Regulation and Power Demands
Apple-Alibaba AI Partnership Faces Delays in China Amid Regulatory and Trade Tensions
Apple’s plan to deploy Apple Intelligence (in China), a suite of AI features for iPhones, in collaboration with Alibaba, has been stalled by China’s Cyberspace Administration (CAC). The CAC’s stringent AI model approval process, compounded by U.S.-China trade tensions, has delayed the iOS 18.6 rollout. While media highlights U.S. tariffs, the CAC’s scrutiny of foreign-linked AI partnerships is the primary barrier. Leveraging Alibaba’s AI models to comply with China’s restrictions, Apple aims to compete with local rivals like Huawei. This delay underscores the complexities of integrating AI in regulated markets, critical for enterprises expanding globally. Read more.
Why It Matters: Navigating regulatory landscapes is essential for global AI deployment. Sprinklenet AI can help your business design compliant, market-ready AI strategies.
Meta’s Nuclear Power Deal to Fuel AI Growth
From our June 3, 2025, edition, Meta has secured a 20-year agreement with Constellation Energy to power its AI operations with electricity from a nuclear plant in Clinton, Illinois. This deal addresses AI’s growing energy demands, ensuring sustainable, high-capacity power for Meta’s data centers supporting platforms like Instagram, WhatsApp and Facebook. It highlights the critical role of infrastructure in scaling AI technologies. Read more.
Why It Matters: AI’s energy demands require innovative infrastructure solutions. Sprinklenet can guide your enterprise in optimizing AI deployments for efficiency and sustainability.
🔧 Legacy Spotlight
Turning Legacy Systems into AI-Ready Data Streams
Many mid-size enterprises rely on legacy systems—such as ERP, CRM, or custom .NET applications—to manage critical operations. These systems house valuable data but are often siloed, limiting their use in modern AI applications. By creating APIs to connect legacy applications to Retrieval-Augmented Generation (RAG) systems, businesses can unlock real-time, context-aware insights without replacing existing infrastructure.
How It Works
APIs act as bridges, enabling RAG systems to securely access and retrieve data from legacy databases or applications. For example, a manufacturing firm’s ERP system containing inventory records can be exposed via a RESTful API, allowing a RAG-powered chatbot to answer queries like, “What’s our current stock level for component X?” The RAG system retrieves relevant data, augments it with external knowledge, and generates precise, natural-language responses, enhancing decision-making and efficiency.
Strategic Benefits
Cost Efficiency: APIs extend the life of legacy systems, avoiding expensive migrations while enabling AI capabilities.
Real-Time Access: RAG systems deliver up-to-date insights by querying live application data, critical for dynamic industries like finance or logistics.
Scalability: Modular APIs support phased integration, allowing businesses to scale AI adoption at their own pace.
Data Security: APIs with robust authentication (e.g., OAuth 2.0) ensure compliance with enterprise governance standards.
Jamie Thompson: Sprinklenet
Right now, as you're considering how AI can truly transform your company, perhaps it's to streamline a key process or create a better customer experience.
The big question then becomes: how do you make that vision a practical and efficient reality?
At Sprinklenet, we're actively working with businesses like yours. We take the latest AI advancements and implement them to deliver concrete improvements you can see.
Our focus is on tangible outcomes, not just potential.
Not sure where to start with AI?
Let Jamie walk you through a personalized systems review—tailored to your existing infrastructure.
✅ Discover where AI can add real impact
✅ Avoid common scaling mistakes
✅ Get clarity 👇🏼
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