Your employees waste hours searching through policies, manuals, and knowledge bases. Customers flood support with the same questions—answers to which are already documented. New hires endure lengthy onboarding just to understand internal company processes.
The result? Lost time, high support costs, reduced productivity, and frustrated customers.
Imagine a system that instantly finds the right information across thousands of your documents and delivers a precise, human-readable answer—not a list of links, but a ready-to-use solution.
RAG (Retrieval-Augmented Generation) is an AI-powered technology that works like your best expert: it instantly locates information in your documents and delivers clear, contextual answers.
Unlike traditional search—which returns a list of documents you still need to sift through—a RAG system understands the intent behind your question, analyzes your content, and provides a direct answer with source references.
If you manage hundreds of policies, guides, contracts, and reference materials, your team is drowning in data. A RAG system becomes your single source of truth.
Example: A manager asks, “What discounts are available for Premium-tier loyal customers?” and instantly receives a structured answer with links to the current price list and loyalty program terms.
Your reps juggle dozens of products, pricing plans, terms, and promotions. Remembering everything is impossible—and searching takes too long while a customer waits.
Example: During a live call, a rep asks, “What are the leasing terms for legal entities on equipment over ₽5 million?” and gets a precise answer in 2 seconds.
Onboarding materials, training content, and corporate standards overwhelm new hires. A RAG system helps them find answers instantly and get up to speed faster.
Example: A new employee asks, “How do I request a business trip to another city?” and receives a step-by-step guide tailored to their role and department.
Working with statutes, case law, contracts, and legal opinions demands instant access to relevant documents. A RAG system retrieves precedents and formulations in seconds.
Example: A lawyer queries, “Recent judicial practice applying Article 395 of the Russian Civil Code on interest for unauthorized use of funds in 2024,” and receives an analysis based on the firm’s internal case database.
Treatment protocols, clinical guidelines, and equipment manuals require rapid, reliable access for time-critical decisions.
Example: A physician asks, “What is the recommended dosage of Drug X for patients with renal impairment?” and gets an answer pulled directly from the latest clinical protocols.
Process sheets, safety instructions, and equipment maintenance schedules must be accessible on the shop floor—immediately, without leaving the workstation.
Example: An engineer asks, “What’s the oil replacement interval for the K-500 compressor model?” and receives the exact maintenance schedule.
Simply provide links to your documents (PDF, Word, Excel, web pages). Our system automatically processes them, breaks them into semantic chunks, and indexes them using Google’s AI technologies.
No manual work required—everything is handled automatically. Documents can be grouped by department, project, or client.
Employees or customers ask questions in plain language via a web interface, mobile app, or embedded widget on your website.
Sample questions:
The system retrieves relevant information from your documents and generates a clear, structured response—complete with source links for verification.
Response time: 1–3 seconds. Accuracy: expert-level.
The system supports granular access control: clients, departments, or projects only see their own documents. Sales managers won’t access HR files; Client A won’t see Client B’s data.
Deployment options:
The RAG system integrates effortlessly into your existing IT infrastructure via REST API:
Compatibility: Works with all modern platforms and programming languages.
✅ 20+ years of experience building complex enterprise information systems
✅ Deep AI/ML expertise—we deploy cutting-edge artificial intelligence
✅ Custom-fit solutions—tailored to your industry and workflows
✅ End-to-end delivery—from needs analysis to deployment and support
✅ Powered by Google AI—leveraging Google AI Search and Gemini API for unmatched speed and accuracy
✅ Enterprise-grade security & reliability—built for mission-critical business use
How much does an hour of your team’s time cost? How many customers do you lose due to slow support? How many errors stem from outdated information?
A RAG system pays for itself in 3–6 months through increased efficiency and lower operational costs.
We’ll analyze your needs, propose the optimal solution, and provide a transparent cost estimate. The initial consultation is free.
Emil Slavin – your trusted expert in IT strategy and software architecture. With over 20 years of experience, I specialize in designing, developing, and optimizing complex information systems for businesses of all sizes.
About the technology: RAG (Retrieval-Augmented Generation) combines semantic search with generative AI to create intelligent document interaction systems. Our solution leverages Google AI Search and the Gemini API to ensure maximum accuracy, speed, and relevance in every response.
