Data manager · DataHub developer
Beta (V1)Data onboarding & configuration Q&A
'How do I configure a Kafka feed?' — answered from documentation and live configuration objects, with deep links to the exact screens.
The DataHub assistant is the first conversational pilot of the Beta — Milestone β is the assistant live in product, grounded in documentation and configuration.
In DataHub
The daily reality
The work this replaces
Onboarding a new data flow means reverse-engineering documentation and existing feeds. The institutional knowledge lives in a few heads, so simple configuration questions queue behind busy experts and stall delivery.
How it works
What the agent actually does
datahub-assistant
Ask inside DataHub
The data manager asks in plain language — 'How do I configure a Kafka feed?' — in an assistant embedded in the product screen, not a separate portal.
Grounded retrieval
The agent retrieves from product documentation and live configuration objects (RAG), so answers reflect your instance — not a generic manual.
Answers with deep links
Responses link to the exact screens where the configuration happens, compressing the path from question to action.
A governed conversation
Sessions, platform-managed memory and streamed answers — declared in the agent's descriptor and traced like every other run.
The outcome
Outcome
Onboarding of new data flows compresses: configuration questions stop queuing behind the few people who know.
Governed by design
Conversational mode, sessions and live product connectors are Beta (V1) capabilities; the assistant is declared, eval-gated and traced like every platform agent.
FAQ
Questions teams ask about this
When can we use it?
The DataHub assistant is the first pilot of the Beta (V1) — Milestone β is the assistant live in product. The Early Adopter Program is the way into that cohort.
How are answers kept accurate?
By grounding: retrieval over product documentation and live configuration objects, with deep links so users verify at the source. Like every agent, the assistant carries a versioned eval dataset and a baseline score that can only go up.
What does the assistant remember?
Memory is a declared policy — none, a sliding window, or a rolling summary — applied by the platform, never improvised by the agent. Sessions keep an archived history and survive infrastructure restarts.
Go further
Related use cases and concepts
Consultant-grade configuration assistance
Coming — GA Q3 2026Weeks of client-deployment parametrization and business-rule authoring compressed into days — with every draft reviewed by experts.
Business rule generation from plain language
Shipped (V0)Write 'flag NAV deviations above 2%' — the generator returns a syntactically valid business rule as a typed object DataHub consumes directly.
Data-quality remediation
In product · unified at GAData-quality errors investigated in the context of the feeds, rules and configuration involved — so remediation becomes review-and-apply.
Join the Early Adopter Program
General availability lands in Q3 2026. The Early Adopter Program is open now — a limited cohort, a one-year platform trial, and three workshop streams: Business ROI, Compliance, and Operational fit.