Engineering Service

Knowledge Management & Semantic Search

Deploy AI-powered semantic search and knowledge management solutions that let engineers find answers in minutes instead of hours across millions of technical documents. We design taxonomies, configure search profiles, and connect knowledge sources so that institutional expertise is preserved and accessible. Our approach combines deep NLP expertise with practical understanding of how engineers search, discover, and reuse technical knowledge.

Published author on 'Intelligent Energy: Cognitive AI to Augment Human Knowledge' (SAE International)

Built semantic search and knowledge extraction products at Accuris -- understands the technology from the inside

Combines AI/NLP expertise with deep engineering domain knowledge

Practical taxonomy design informed by how engineers actually search, not how librarians organize

Implementation Timeline

1

Knowledge Audit

2-3 weeks

Source inventory, taxonomy workshop, information architecture design, and metadata schema definition.

2

Configuration

4-6 weeks

Connector setup, indexing pipeline configuration, search profile creation, and relevancy algorithm tuning.

3

Integration

3-4 weeks

DMS integration, authentication and SSO setup, access control configuration, and cross-system linking.

4

Training & Launch

2-3 weeks

User training workshops, champion user onboarding, adoption playbook delivery, and feedback collection.

5

Optimization

Ongoing

Usage analytics monitoring, relevancy tuning based on search behavior, source expansion, and continuous improvement.

Our Approach

1

Knowledge Source Inventory & Taxonomy Workshop

Catalog all knowledge sources -- documents, standards, patents, procedures, lessons learned -- and conduct workshops to define the taxonomy and metadata schema.

2

Information Architecture & Search Strategy Design

Design the information architecture, define search profiles by engineering discipline, and establish relevancy ranking rules aligned with engineering workflows.

3

Semantic Search Configuration & Connector Deployment

Configure the semantic search platform, deploy connectors to all knowledge sources, and set up indexing schedules and access control policies.

4

Search Profile Customization & Relevancy Tuning

Create discipline-specific search profiles, tune relevancy algorithms using engineering-specific heuristics, and validate results with subject matter experts.

5

User Training, Launch & Ongoing Optimization

Deliver hands-on training workshops, launch the platform with champion users, and establish feedback loops for continuous relevancy and coverage improvement.

What We Deliver

Knowledge source inventory and taxonomy

Information architecture and search strategy document

Configured semantic search platform with custom connectors

Discipline-specific search profiles and relevancy tuning

User training materials and adoption playbook

Technology Partners

Accuris Goldfire

Semantic Search

Microsoft SharePoint

DMS

OpenText Documentum

DMS

Elasticsearch

Search Infrastructure

Vector Databases

AI-Powered Search

Who It's For

Engineering organizations with large volumes of unstructured technical documents

R&D teams needing to search across patents, standards, and internal technical literature

Knowledge management leaders tasked with capturing institutional expertise

Chief engineers concerned about knowledge loss from workforce turnover

Expected Outcomes

Dramatic Search Time Reduction

Sub-minute search across millions of technical documents, down from typical 30-45 minute manual searches through filing systems and shared drives.

Discipline-Specific Search Profiles

Discipline-specific search profiles tailored to each engineering function, ensuring that mechanical, electrical, process, and structural engineers each see the most relevant results first.

Connected Knowledge Bases

Connected knowledge bases spanning internal documents, standards, patents, and published research -- breaking down silos between information sources.

Reduced Duplicated Research

Measurable reduction in duplicated research and reinvention of existing solutions, preserving institutional knowledge even as experienced engineers retire.

Illustrative Projects

Oil & Gas16 weeks

Enterprise Knowledge Platform

Deploying semantic search across 2M+ technical documents for a global EPC firm, including integration with SharePoint, Documentum, and standards libraries

Manufacturing10 weeks

R&D Knowledge Base

Connecting internal design documents, patents, and standards into a unified searchable knowledge base with discipline-specific search profiles

Aerospace8 weeks

Standards-Integrated Search

Configuring semantic search to surface relevant standards alongside internal technical procedures, linked to active programs and design requirements

Engagement Models

Discovery & Knowledge Audit

Inventory of knowledge sources, taxonomy workshop, and information architecture recommendations with a deployment roadmap.

2-3 weeks ($5K-$10K)

Standard Deployment

Full deployment of semantic search across a single site or business unit, including connector setup, relevancy tuning, and user training.

3-4 months ($20K-$40K)

Enterprise Multi-Site

Enterprise-wide deployment across multiple sites and business units with unified taxonomy, federated search, and centralized governance.

6-12 months ($50K-$100K)

Capabilities

Semantic search deployment and configurationTechnical taxonomy and ontology designKnowledge source integration and connector developmentSearch relevancy tuning and profile customizationInstitutional knowledge capture and preservation

Ready to get started with Knowledge Management?

Every engagement starts with a free diagnostic call. Tell us about your engineering challenges and we'll scope a tailored solution.

Schedule a Consultation