VADS Knowledge Management System
Turning complex operational knowledge into something teams can find and use.
Visual Exploration & Product Walkthrough
The Core Challenge & Our Engineering Approach
The Challenge
Operational knowledge was scattered across disparate manuals, documents, and teams, causing duplicated effort and knowledge loss during personnel transitions.
Our Approach
Engineered a centralized multi-tenant KMS with instant Meilisearch full-text indexing, OCR ingestion for scanned PDFs, and role-based access controls across distinct client projects.
Multi-Tenant Search and AI Processing Architecture
Structured into four clear layers: Core Multi-Project KMS, Search and Indexing Layer, AI Ingestion Service, and REST API Integrations.
Core KMS & RBAC
Laravel application managing project isolation and permission matrices.
Meilisearch Engine
Typo-tolerant high speed vector and lexical document search.
OCR & Document AI
Automated text extraction and parsing for unstructured files.
REST API Gateway
Secure endpoints for embedding knowledge into external enterprise portals.
Key Features & Technical Innovations
Search-First User Experience
Instant typo-tolerant search across titles, tags, and document content with categorized project filters.
AI-Assisted Document Processing
Extracts text and key facts from uploaded PDF and Word documents automatically during ingestion.
Multi-Project Role-Based Access
Strict project boundaries ensuring team members only access knowledge relevant to their assignment.
Have a similar technical challenge or ambitious product vision?
Let's calibrate the architecture, timeline, and exact scope with our senior engineering team.