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Use the Studio to manage your organization

  • Set active namespace: Use the top bar namespace switcher. All actions scope to this selection. Namespaces mirror API behavior for X-Namespace. Create one in Studio or via Create Namespace.
  • Create buckets: Define schemas to validate your objects. Buckets are the entry point for raw data. See Create Bucket and Create Object.
  • Create collections: Point to a source and choose feature extractors. Collections produce searchable documents and vectors. See Create Collection and Describe Features.
  • Ingest data: Upload objects to buckets, optionally in batches. Processing runs in the Engine and writes documents to your namespace.
  • Explore results: Use Explorer to search, filter, and preview documents with presigned URLs.
  • Build retrievers: Configure stages, test inputs, and save pipelines to power your apps. See Create Retriever and Execute Retriever.
  • Enrich with taxonomies: Attach flat or hierarchical taxonomies on-demand or materialized. See Create Taxonomy and Execute Taxonomy.
  • Discover with clusters: Run clustering jobs and apply enrichment back to collections. See Create Cluster and Execute Clustering.

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Tips

  • Auth is automatic in Studio: Your API key and X-Namespace header are handled for you. When calling APIs directly, include both.
  • Rate limits and health: Check Operations for service health and limits. API reference: Healthcheck and Limits.
1

Set active namespace

Use the top bar switcher. This scopes all actions and mirrors the X-Namespace header.
2

Create buckets

Define schemas, then register objects. Buckets are your raw input boundary.
3

Create collections

Choose feature extractors and index configs; this produces searchable documents and vectors.
4

Ingest and process

Upload objects or submit batches; the Engine writes vectors and payloads to Qdrant.
5

Explore and retrieve

Use Explorer for ad-hoc discovery and Retrievers for production search.
6

Enrich with taxonomies and clusters

Attach taxonomies on-demand or materialize; run clustering for discovery and analytics.
Studio follows Mintlify component patterns for clarity and scannability; see the Mintlify starter for examples.