index-tz5RRXYm.js

js altimate.ai collected 2026-09-25 19:49:12 UTC 146,829 bytes, 280 lines download raw bytes

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80<!-- TODO: Add OpenRouter logo/label to this LLM box (ref: meeting transcript ~min 16) -->
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83<text fill="white" style="white-space: pre" xml:space="preserve" font-family="JetBrains Mono" font-size="17" font-weight="bold" letter-spacing="1.5px" text-anchor="middle"><tspan x="938" y="524.12">LLM MODELS AND GATEWAYS</tspan></text>
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It helps teams manage data workflows, analyze data, troubleshoot issues, optimize pipelines, and work with tools such as Snowflake, Databricks, dbt, and other data solutions.`,`Altimate connects to over a dozen of the most popular data platforms: Snowflake, Databricks, BigQuery, Redshift, Postgres, DuckDB, Trino, ClickHouse, MongoDB, MySQL, SQL Server, Oracle and SQLite. It exposes over 100 deterministic tools to the agents that work across them.`]},{q:`What is Agentic Data Engineering?`,a:[`Agentic Data Engineering (ADE) applies AI agents to data engineering workflows so teams can automate complex tasks, investigate data issues, understand lineage, optimize costs, and improve pipeline development. Unlike traditional automation, AI agents can reason through tasks and use available data tools to complete multi-step workflows. Unlike general purpose LLMs or coding frameworks, ADE incorporates dedicated tools, both through inference and deterministic approaches, to automate the work of data engineering teams.`,`That distinction is measurable rather than rhetorical. On ADE-Bench, dbt Labs' analytics-engineering benchmark, Altimate Code scores 78.0%, solving 32 of 41 tasks against real dbt projects in Docker sandboxes, putt

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Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.