AI-powered construction regulations search engine. Search-Validate-Apply
Smarter AI search for UK building regulations. Our RAG-powered tool combines unique combination of LLMs with custom vector search to deliver precise, evidence-backed answers with direct links to Approved Documents.
Use of AI is entirely at your own discretion, and users are responsible for any decisions made based on its outputs. Built by Systemais powered by OpenAI chat.
Story
Following the success of our OpenAI topic-specific chatGPT assistants, we have taken regulatory search to the next level.
While native GPT chat can provide quick answers, they lack a reliable way to validate responses against the actual Approved Documents - and in building regulations, precision is critical.
To solve this, we developed a Retrieval-Augmented Generation (RAG) engine with a vector database for natural language search. This means users not only receive clear AI-generated explanations, but also get direct links to the relevant sections of the regulations for instant validation.
The tool also goes beyond simple “yes/no” queries. It supports complex reasoning where compliance depends on context, helping architects and designers navigate grey areas with evidence-backed answers.
##Example of document processing
The clip shows an example of document processing: Building Regulations England Approved Documents are broken into structured chunks that the system can use. That pipeline enables a proper RAG (Retrieval Augmented Generation) workflow, where the engine retrieves relevant context instead of relying on generic knowledge. The documents are highly complex-columns, images, tables, and nested headings—which suits human readers but complicates AI context engineering. Most of the real work happens in this preprocessing stage, before any question is asked.