Back to marketplace
Turbopuffer logo
turbopuffer Verified

Build Turbopuffer agents for search quality operations

Create search operations agents that turn vector and full-text search context into quality improvement plans.

Example outcome

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

Agent examples

Workflow guides for Turbopuffer

3 guides

Improve retrieval quality with operational context

Turbopuffer workflows in LatchLoop help agents investigate vector search and full-text search systems. The agent can reason about schema, ingestion, query behavior, retrieval examples, and troubleshooting steps before a team changes production search infrastructure.

A strong Turbopuffer agent should be scoped to a symptom: poor recall, irrelevant results, ingestion failures, schema questions, or performance concerns. It should gather evidence, recommend safe diagnostics, and mark write or schema changes for approval.

Use this page to explain search quality workflow patterns while catalog metadata remains the source of truth. Turbopuffer pairs well with GitHub, PostHog, Sentry, and documentation tools when retrieval issues connect to code, product behavior, and user impact.

Start with the search quality workflow below to create an agent that prepares a retrieval improvement handoff.

Combine plugins

Build richer agents by pairing Turbopuffer with complementary context

Outcome pages can describe combinations: one plugin for source context, another for project tracking, and another for delivery or notifications. Use Turbopuffer as one layer in a larger agent workflow when the outcome needs more than one connected app.

Available plugin capabilities

turbopuffer
Get Started

Build as fast as you can think.

LatchLoop works where you do to build with you.