More results ≠ better search.

Good search has three jobs:
→ Retrieve relevant documents
→ Rank them by relevance
→ Put the most useful results first

The goal isn’t more results. It’s better results.

#Search #SearchEngineering

Fast search isn’t necessarily useful search.
A result that arrives in milliseconds still creates friction if it isn’t relevant.

Good search needs both: low latency and high relevance.

#Search #SearchEngineering

Good search doesn’t stop at the result.
What users do after a query is a signal:

→ What they click
→ What they ignore
→ What they search next
→ What you tune

Search is a continuous learning system, not a one-time configuration.

#Search #SearchEngineering

Knowledge workers can spend 19% of their workweek searching and gathering information.
That's almost 8.8 hours per week, according to McKinsey Global Institute.

Fix search. Reclaim time. Follow Dina Bridge

#Search #SearchEngineering #DinaBridge

There’s no single “best” search technology.
The right choice depends on your data, workload, relevance needs, deployment model, and scale.

Elasticsearch. OpenSearch. Algolia. ClickHouse. MongoDB.

Start with the problem. Then choose the technology.

#Search #SearchEngineering #DinaBridge