Enterprise Vector Knowledge Graph
Cross-Domain Compliance Engine for Pharmaceutical Research
The Challenge
A pharmaceutical research centre operated in a regulatory labyrinth spanning multiple domains. Researchers needed a way to validate SOPs, compliance documents, and procedures against guidelines from seven different governing bodies — a process that previously took days and was prone to human error.
Business Need
The goal was to build a cross-domain validation and compliance engine that centralised regulatory guidelines, enabled audit-ready responses, and provided instant clarity to engineering and scientific teams. The solution had to run entirely within the client's private network and integrate with existing knowledge systems — no cloud dependency.
Key Constraints
- Seven separate governing bodies with varying regulations and vocabularies
- Requirement to run entirely within the client's secure private network
- Support for 5,000+ pages of documentation with near-real-time updates
- Interoperability with existing document management and search tools
- Legally defensible, auditable responses for regulatory inspections
System-Thinking Approach
We approached the platform as a living knowledge ecosystem. Each regulation, SOP, and domain entity became a node in the graph, with vector embeddings capturing semantic meaning. A hybrid search strategy combined vector similarity with rule-based compliance logic to deliver precise, traceable responses. The MVP ingested documents from seven regulators, extracted entities, generated embeddings via a domain-tuned transformer model, and stored them with graph relationships. A search API offered contextual retrieval and validation suggestions, with a full audit log for traceability.
System Architecture
Parses PDF, Word, and HTML documents across all seven regulatory sources
Domain-tuned transformer models converting documents to semantic vectors
Neo4j with vector indexes and rule-based edges for compliance relationships
Applies regulatory rules across domains with conflict detection and resolution
GraphQL and REST endpoints for contextual retrieval and SOP validation
Tamper-evident logs of every query and response for regulatory inspection
Impact & Outcomes
Research teams could validate SOPs and resolve knowledge gaps in minutes instead of days. The platform's audit trail gave compliance officers full confidence during regulatory inspections.