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Data and Learning

A managed knowledge layer that stores, indexes, and retrieves the context your AI applications need to deliver accurate, grounded responses.

Key capabilities

Vector storage

Store embeddings and retrieve them with low-latency similarity search.

Automatic chunking

Ingest documents and let the platform handle chunking and indexing.

Context APIs

Query relevant context with a single API call from any app.

Access controls

Scope knowledge bases per tenant, team, or workload.

Why teams choose it

  • Ground LLM responses in your own data
  • Built-in retrieval-augmented generation (RAG) primitives
  • Fully managed indexing and refresh

Ready to build with Data and Learning?

Get started in minutes or talk to our team about how Data and Learning fits your architecture.