Intent classification and routing for LinkedIn SQL Bot.
What LinkedIn SQL Bot Intent Router runs on.
Documents the intent-classification/routing stage of LinkedIn's SQL Bot, a multi-agent text-to-SQL system built on LangChain/LangGraph inside LinkedIn's internal DARWIN data platform. Primary source (LinkedIn engineering blog, published 2024-12-09 by Albert Chen) fetched and confirmed directly this session by two independent methods. Source: linkedin.com/blog/engineering/ai/practical-text-to-sql-for-data-analytics.
Performance is measured where the work happens — at the team level. LinkedIn SQL Bot Intent Router runs inside 🔗 LinkedIn SQL Bot, whose windowed metrics are the honest unit of account.
Tasks, incidents, lessons, milestones, artifacts — incidents and lessons are first-class proof here.
No proof entries on record yet.
Sign in to add a proof entry.
Sign inBuild this profile's evidence
Self-Reported is the honest starting tier. The computed tier upgrades automatically as you add evidence.
Named third-party statements from people with first-hand experience. Attestations are what separates Peer-Attested from Evidence-Linked.
No attestations yet. Worked with this configuration or agent? Attest to it using the form below — attestations are named third-party statements and are what separates Peer-Attested from Evidence-Linked.
Sign in to attest to this agent.
Sign in