An enterprise-grade AI-powered Retrieval-Augmented Generation (RAG) platform purpose-built for construction companies. ConstruRAG enables teams to upload thousands of project documents—PDF contracts, technical specifications, shop drawings, RFIs, change orders, daily reports, safety documents, BIM metadata, invoices, and more—and instantly query them using natural language. Get accurate, cited answers pulled directly from your document corpus with complete source references and context.
How It Works:
1. Document Ingestion Pipeline - Automated OCR, parsing, and chunking of construction documents with specialized handling for technical drawings, tables, and stamped plans.
2. Intelligent Vectorization - Advanced embedding models fine-tuned on construction terminology, creating semantic search across your entire document library.
3. Natural Language Query Interface - Ask questions like "What's the concrete strength requirement for Building C foundation?" or "Show me all change orders related to electrical work in Q3".
4. Source-Cited Responses - Every answer includes direct citations with page numbers, document names, dates, and highlighted excerpts for verification.
5. Multi-Project Management - Organize documents by project, phase, trade, or custom taxonomy with role-based access control.
6. Real-Time Collaboration - Share findings with team members, annotate responses, and create knowledge bases from frequently asked questions.
7. Compliance & Audit Trail - Track all queries, responses, and document access for regulatory compliance and project audits.
Technical Stack: Frontend (Nuxt 3, Vue 3, TypeScript, Tailwind CSS, PDF.js), Backend API (FastAPI, Python, Pydantic), Document Processing (Rust microservices for high-performance OCR/parsing), Vector Database (Weaviate with hybrid search), Queue System (RabbitMQ + Celery for async processing), AI/ML (LangChain, OpenAI GPT-4, Sentence Transformers, LlamaIndex), Storage (MinIO for S3-compatible object storage, PostgreSQL), Authentication (Auth0 with SSO), Deployment (Docker, Kubernetes, Terraform, AWS ECS).
Client
Construction Firms & General Contractors
Industry
Construction Tech & AI Document Intelligence
Date
12/08/2025
Tech Stack




