On November 11, 2025, the Intecracy Group consortium held the Intecracy Customer Workshop in a mixed format. The event topic, “Corporate Knowledge Base and Semantic Search,” focused on a practical enterprise issue: how organizations can reliably find answers in internal documents, archives, and business data without losing control over security and access rights.
Leading Intecracy Group IT architects Yurii Syvytskyi and Serhii Balashuk presented an architecture that combines Enterprise Search, RAG (Retrieval-Augmented Generation), and ECM-class systems. From the perspective of enterprise document management, records, archives, data governance, and integration, the presentation was relevant because it addressed not only search convenience but also the controlled use of verified corporate information.
From File Repositories to a Corporate Knowledge Base
The workshop addressed the challenge faced by large organizations that accumulate large volumes of unstructured information. Contracts, procedures, technical regulations, financial reports, scanned documents, and correspondence are often distributed across separate systems, cloud repositories, and local folders. In such an environment, keyword search may return incomplete or noisy results because it does not understand the intent of the question or the semantic relationship between terms.
Yurii Syvytskyi emphasized that users increasingly need a precise answer rather than a long list of possible documents. A corporate knowledge base with semantic search is intended to connect the user’s natural-language question with verified internal sources and provide results that can be checked against the original document.
“The true value of corporate data lies not in its quantity, but in the speed and convenience of accessing it. Today, businesses are not just looking for document links where information might potentially reside, but for specific, precise, and contextually correct answers to their questions,” noted Yurii Syvytskyi.
How RAG Works with ECM and Enterprise Search
A central part of the discussion was the RAG model. Unlike general AI models that may generate unsupported statements, a RAG-based approach first retrieves relevant fragments from the company’s own knowledge base and then uses a language model to generate an answer grounded in those fragments. In the architecture presented at the workshop, Enterprise Search performs the retrieval stage, while the ECM environment provides managed documents, metadata, permissions, and source control.
This distinction is important for enterprises that already operate document management platforms and electronic archives. ECM is not treated as a passive storage layer; it remains the system that governs document structure, access policies, retention, and traceability. Semantic search adds an intelligent interface on top of that controlled repository.
“Integrating semantic search with enterprise content management (ECM) systems requires strict compliance with security policies and access control,” emphasized Serhii Balashuk.
Security and Data Governance Requirements
Serhii Balashuk highlighted that semantic search inside a corporate perimeter must respect user permissions at every stage. If an employee is not authorized to view a document, that document must not appear in search results and must not be used by the language model when generating a response. This requirement is essential for organizations dealing with confidential contracts, regulated records, financial data, or sensitive correspondence.
The speakers also discussed the indexing of different document formats, including text files, large PDFs, tables, and scanned copies. With semantic analysis and vector search, a user can ask a question in everyday language and still find the relevant clause or record even when the original document uses different wording.
Implications for Enterprise Information Infrastructure
In the final part of the workshop, semantic search and RAG were presented as a logical development of the corporate knowledge base. The idea is not to replace ECM or archive systems, but to extend them with an intelligent search layer that helps employees use accumulated organizational knowledge faster and with better context.
The mixed format brought together online and offline participants, who were able to discuss technical implementation issues with Intecracy Group experts. The topic is closely aligned with the broader enterprise need to integrate documents, archives, permissions, and data governance into a single information environment. More details on the presentations by Yurii Syvytskyi and Serhii Balashuk are available in the Intecracy Group article on Enterprise Search and RAG technologies.