Find out the cost and time frame of developing RAG for business
Learn how AI-powered RAG automates internal processes
Order the development of a RAG system
Our team is certified according to international standards Scrum.org . We apply the best practices of agile development to your business.
Active participation in open-source projects allows you to create reliable solutions using proven technologies and keep up with the times.
Our solutions are created from ready-made tested components. This speeds up development and scaling, as well as making further support easier.
Our experts with extensive experience in collaboration guarantee efficiency, coherence and quality of the final product.
We are not new to complex projects. We have extensive experience in creating BPMS, CRM and high-load systems.
Proven professional qualifications, reliability and compliance with advanced industry standards.
We will help you create a solution that will meet the needs of your business. Our team uses proven and up-to-date tools, develops digital products for stable and efficient work for many years to come.
Project planning
We define automation tasks: query processing, distribution of requests, preparation of reports, work with internal queries and document management.
We analyze the client's infrastructure — CRM, ERP, messengers, BI-systems — and choose integration approaches taking into account security and data storage requirements.
Designing use cases
We study the current processes: receiving requests, supporting employees and clients, operational and back-office tasks.
We are designing the architecture of the RAG system, thinking over business logic and interaction scenarios, and determining how the system will provide fast and accurate responses.
Development and integration of functionality
We implement the functionality of the RAG system for working with chats, e-mail, API and other channels:
Testing the application
We check the operation of the RAG system: correctness of responses, completion of tasks, stability under peak loads, work with typical and atypical requests.
Implementation and support
We are implementing RAG into the corporate ecosystem: messengers, internal portals, CRM, ERP. We set up access rights, log monitoring, regular model updates and scenario optimization, and provide technical support.
RAG (Retrieval-Augmented Generation) system automates work with corporate information: extracts data from documents, communications and knowledge bases, structures them and provides accurate answers for decision-making based on current data.
Such solutions are based on modern AI approaches and frameworks for building RAG pipelines. For example, LlamaIndex is used to work with documents and collect context, and CrewAI is used to coordinate complex scenarios and roles in RAG processes. This allows you to link corporate data to language models and get accurate answers.
RAG becomes a part of daily business processes, helping managers, managers, HR and operational teams to work quickly with information. This is not a chatbot, but an intelligent system for accessing the company's knowledge, operating 24/7 and relying on real sources.
RAG systems are used in tasks where it is important to work with a large amount of verified information and get accurate answers based on sources. They are used in customer support to search knowledge bases and CRM, in legal and financial departments to work with regulatory and regulatory documents, in medicine to analyze clinical recommendations and medical data, as well as in education and corporate training to automate responses and access to educational materials.
RAG allows you to quickly extract and structure information, reducing time spent searching for data and preparing reports, simplifies communication within teams and with clients, and stores key information in a corporate knowledge base with transparent sources.
A project usually involves a project manager, a data analyst, a UX/UI designer, developers, and QA engineers. For corporate and industry solutions, teams are formed taking into account business specifics and security requirements.
The RAG system is effective for organizations of any size and direction. It is especially valuable for companies that control a variety of projects, risks, or key indicators, such as manufacturing enterprises, financial structures, IT companies, logistics networks, or retail businesses.
An intelligent assistant or chatbot can be trained on any documents you have - they don't need to be specially prepared. Suitable texts, tables, estimates, drawings and other internal materials.
Unlike standard reports that take time to collect and analyze data, the RAG system instantly visualizes information, allowing you to quickly assess the status of projects and make decisions. This speeds up the preparation of reports and improves management efficiency.
