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Create a Turbopuffer search quality agent

Build a retrieval assistant that helps teams debug vector and full-text search behavior.

Workflow outcome

Convert search system context into a quality investigation brief with evidence, diagnostics, and recommended fixes.

What this agent helps you do

A Turbopuffer search quality agent helps teams understand why retrieval is not meeting expectations. It can summarize schema, ingestion, query, and result quality questions.

When to use this workflow

Use it when search results are irrelevant, recall drops, ingestion fails, latency changes, or a new retrieval feature needs validation.

How Turbopuffer gives the agent context

Connect the plugin and scope the agent to the namespace, schema, query examples, documents, or incident. Ask it to begin with safe diagnostics and prepare changes for approval.

Example starter prompt

Investigate this Turbopuffer search quality issue. Review the provided query examples, schema assumptions, ingestion context, likely causes, and recommend diagnostics and fixes without making changes automatically.

Suggested workflow steps

Define the symptom, gather examples, inspect schema and ingestion assumptions, compare expected and actual results, and rank likely fixes by impact and risk.

Expected handoff

The handoff should include examples, findings, diagnostic steps, recommended changes, and validation checks. Pair with GitHub or PostHog for code and product context.

Get Started

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