Vexcel worked with AWS to evaluate multimodal embeddings, captioning, fusion strategies, and vector search for turning multi-view aerial imagery into a natural-language-searchable knowledge base.The system used Amazon Bedrock, Amazon OpenSearch Serverless, Amazon S3, AWS Secrets Manager, and automated evaluation against OpenStreetMap ground truth across about 100 configurations.The solution evolved into a preview product for searchable vector embeddings across Vexcel's global imagery library spanning 45+ countries.
Use case type
Semantic search
Semantic search retrieves information based on meaning rather than exact keyword matches. It addresses the need to find relevant records, documents, or evidence across large collections of unstructured information.
Use cases
3
Examples
3
Industries
2
Timeline
3 mo
Data updated 1 day ago
Adoption over time
Documented cases per month
By case publish month · completed months only
3 cases documented across 33 months (Nov 23 – Jul 26), peaking at 1 in November 2023.
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
Use cases of this type
3 shown from 3 use cases
MicrosoftJul 31, 2025
UK Ministry of Justice AI Action Plan for Transforming Justice System
The UK Ministry of Justice (MOJ) has launched a comprehensive AI Action Plan to transform the justice system in England & Wales, aiming to improve efficiency, reduce administrative burdens, enhance decision making, and personalize citizen services while maintaining ethical AI use and public trust.
The Nebraska Judicial Branch faced challenges managing, storing, and securing physical and digital case exhibits with manual processes that lacked scalability and secure chain of custody.They implemented a secure, scalable, serverless microservices-based electronic exhibits system on AWS integrating Amazon Bedrock for generative AI semantic search.This solution centralized exhibit management and introduced semantic search capability, reducing response time for case-related queries from hours or days to seconds, improving security, accessibility, and retention.
Common questions
Semantic search at a glance
- How many semantic search use cases are documented?
- The AI Use Case Hub documents 3 real semantic search deployments across 2 industries, with 3 detailed company examples you can browse.
- Which industries adopt semantic search the most?
- Semantic search is most common in Public Sector (67%) and Tech & Comms (33%).
- Which countries lead in semantic search?
- United States leads documented semantic search deployments, followed by United Kingdom.
- What technologies are used for semantic search?
- Teams most often build semantic search with Amazon Bedrock, Microsoft 365 Copilot and Azure AI.
- What AI capabilities power semantic search?
- Across the documented deployments, the most common capability patterns are Copilot (33%) and Vision (33%).
- What results do companies report from semantic search?
- Across the 3 deployments reporting outcomes, companies most often cite new product / capability (100%), scale & capacity (67%) and risk & compliance (33%).