Semantic Search in DDC CWICR Database Business Case Problem Statement Construction cost estimation requires finding relevant work items from large databases. Traditional keyword search fails when: - Users describe work in natural language - Terminology varies across regions and languages - Similar work items have different naming conventions Solution DDC CWICR database provides pre-computed embeddings (OpenAI text-embedding-3-large, 3072 dimensions) enabling semantic similarity search across 55,719 work items in 9 languages. Business Value - 90% faster work item lookup compared to manual sear…