Retrieval-Augmented Generation (RAG) & Web Development Services

Retrieval-Augmented Generation (RAG) combines a Large Language Model (LLM) with a search layer that pulls in relevant information from your own data before generating an answer. Instead of relying only on what the model was trained on, RAG grounds responses in your documents, knowledge base, or transaction data. For digital businesses, this means you can build AI features inside your website or app that are more accurate, controllable, and compliant—ideal for ecommerce platforms, financial services portals, government sites, and internal knowledge systems.

A basic chatbot integration usually sends user prompts directly to an LLM API from your site or app. That’s fast to prototype but unreliable, hard to govern, and difficult to scale. Stralya’s RAG service, by contrast, builds a full retrieval and orchestration layer around the model: structured data ingestion, vector search, ranking, prompt engineering, guardrails, and monitoring—deployed as cloud-native services. The result is a system that can be audited, tested, and maintained like any other critical web component or shopify ecommerce development company deliverable.

Yes. Stralya is a cloud-native web development company and we design RAG architectures specifically for AWS, Azure, or GCP. We can deploy into your own cloud account, follow your security baselines, and integrate with your IAM, logging, and compliance tooling. We are used to working within the same constraints as enterprise web teams and shopify web developers, ensuring that AI features respect your existing governance model.

Our preferred model is fixed-price, project-based delivery with a clearly defined scope, architecture, and acceptance criteria. This aligns with our project-first mindset and our commitment to outcomes. For highly exploratory or complex environments, we may combine a fixed discovery phase with a structured implementation phase, but we avoid open-ended, poorly scoped engagements—the same principle we apply when scoping shopify website design packages or large web builds.

Yes. Project rescue is one of Stralya’s core capabilities. We can audit your current RAG or AI setup, identify architectural and data issues, and propose a realistic recovery plan. Once agreed, we can refactor, stabilize, or rebuild the system under a fixed-price framework, with the goal of getting you to a reliable production state as quickly as possible—whether it’s a standalone AI service or tightly integrated into your ecommerce or shopify website design stack.

We typically work with startups and scale-ups building AI-native products, SMEs and large enterprises undergoing digital transformation, and public or regulated entities with critical digital mandates. The common pattern is a high-stakes digital asset—such as a portal, platform, or ecommerce site—where AI must be reliable, secure, and maintainable, not just experimental. That often includes teams already investing in modern web platforms or shopify web design and development who now want serious AI capabilities on top.