Discover a Smarter Way to Search Power Quality Resources

Unlock faster, more accurate power quality investigations with Smarter PQ Search with AI. This white paper introduces AI-powered semantic search in PQCanvass, using vector embedding technology to surface relevant documents—even when traditional keywords fall short. Learn how natural language processing (NLP) streamlines document retrieval, improves diagnostic workflows and integrates with the upcoming PQ Assistant tool.

Key topics include:

• How vector embeddings transform technical search

• Best practices for crafting effective queries

• Bridging field observations with engineering standards

• Real-world case studies using semantic search

• PQ Assistant integration for waveform-based document retrieval

Why utilities should care:
Miscommunication between field data and technical documentation delays resolution and increases truck rolls. With AI-enhanced search, utility engineers can quickly connect symptoms in the field to the right technical standards and recommended practices—reducing investigation time, improving response accuracy, and accelerating root cause analysis.