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The Data Platform solves two problems for agents: giving them knowledge to search (product docs, policies, internal wikis) and memory to retain (conversation history, user preferences, past decisions). Without these, every agent invocation starts from zero. It provides searchable knowledge stores, scoped memory, connectors that keep content in sync with external sources, and context bundles that assemble grounded context for a run.

Capabilities

Knowledge Stores

Ingest content and search it semantically.

Memory

Record and recall agent memory across scopes.

Connectors

Sync data from Amazon S3 into knowledge stores.

Documents & Uploads

Upload files for automatic chunking and embedding.

Syncs

Monitor ingestion runs across your environment.

Context Bundles

Assemble grounded context for a task run.

Base URL

All Data Platform requests use the REST API:
Authenticate with a Bearer token. See Authentication.
The Data Platform is accessed via the REST API and Console only. The Python and TypeScript SDKs cover Compute, Orchestration, and Tools; Data Platform examples in these docs use curl against the REST API.

Errors

Data Platform endpoints return a consistent JSON error body: { "code": "<error_code>", "message": "<human_message>" }. Permission errors include the required permission in details.

Security

Rate limits

Pagination

List endpoints accept page (starting at 1) and page_size (1–100, default 20).

Next steps

Start with Knowledge Stores to ingest and search your first content.