Search for Big Data using LLMs
Improved user efficiency and retention, especially for enterprise users managing large-scale portfolios. Supported product stickiness by reducing friction in daily workflows
How?
Led the design of a global search experience that allowed users to:
- Search extracted answers across all projects
- Filter results by:
- - Document metadata (e.g. customer name, document type)
- - Confidence scores
- - Project
- View answers in context, linking directly to the source document
Collaborated with engineering and product teams to align on scope and MVP priorities.
0 likes · 0 views · Oct 14, 2025
Search for Big Data using LLMs Improved user efficiency and retention, especially for enterprise users managing large-scale portfolios. Supported product sti...
