Playground

The playground lets you test your namespace from the dashboard without writing code. The chat playground answers questions with agentic search: the model searches your documents itself, deciding what to look for and when it has enough context to answer. The playground also includes a search tab for running queries directly.

How it works

When you send a message, the model runs a tool-calling loop of up to 20 steps with two tools:

Tool	Description
`search`	Searches the namespace with a query the model writes, in `semantic` or `keyword` mode. Keyword search is available on Turbopuffer-backed namespaces (the default for managed namespaces).
`expand`	Fetches roughly 10 surrounding chunks (5 before, 5 after by position in the document) when a retrieved chunk is cut off or needs nearby context. Available on Turbopuffer-backed namespaces; not yet supported on Pinecone-backed namespaces.

The chat shows the progress of each search and expand call as the model works, then streams the final answer.

Modes

The chat playground has two modes:

Mode	Behavior
Accurate (default)	Each semantic search fetches Top K chunks (default 30) and reranks them down to the Rerank Limit (default 10) with the configured re-ranker.
Fast	Skips reranking. Each search returns the Rerank Limit (default 10) chunks directly.

Citations

Answers cite sources with inline pills resolved from the retrieved chunks. Click a pill to view the source text and its metadata.

Parameters

Open the parameters dialog to tune retrieval and generation:

Parameter	Description
Top K	Number of chunks fetched per semantic search, before reranking (default 30)
Rerank Limit	Number of chunks the model sees per search (default 10)
System Prompt	Persona and behavior instructions. Defaults to a prompt tuned for agentic search; Agentset always appends its retrieval and citation rules, so citations keep working with a custom prompt
Re-ranker	Model used to rerank results in Accurate mode
Temperature	Sampling temperature. Has no effect on reasoning models like GPT-5.5

Use the model picker to change the language model. GPT-5.5 is the default.

Next steps

Agentic Search — Build the same tool-calling loop in your own app
Search — Query your namespace through the API
Hosting UI — Share a prebuilt chat interface with your users

Get Started

Data Ingestion

Search and Retrieval

Production

Webhooks

Cookbooks

How it works

Modes

Citations

Parameters

Next steps

​How it works

​Modes

​Citations

​Parameters

​Next steps

How it works

Modes

Citations

Parameters

Next steps