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Русский(RU) Как и зачем мы писали семантический слой для ИИ аналитики – SLayer Казалось бы, что может быть проще: даёшь LLM доступ к БД и просишь написать тебе нужный SQL!

Developers build SLayer semantic layer for AI analytics

By PulseAugur Editorial · [1 sources] ·

Developers created SLayer, a semantic layer designed to improve AI analytics by providing LLMs with structured access to databases. This system addresses common issues like cardinality explosions, granularity errors, and complex queries that arise when AI agents interact directly with data. SLayer aims to enable more deterministic analytics and enhance the performance of AI agents working with data. AI

IMPACT Enables more reliable and accurate data analysis by AI agents, potentially improving business intelligence and decision-making.

RANK_REASON The cluster describes the development of a new technical component (semantic layer) for AI analytics, which falls under research and development in the AI space. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developers build SLayer semantic layer for AI analytics

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The cluster describes the development of a new technical component (semantic layer) for AI analytics, which falls under research and development in the AI space. [lever_c_demoted from research: ic=…
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 Русский(RU) · [email protected] ·

    How and why we wrote the semantic layer for AI analytics – SLayer It would seem that nothing could be simpler: give the LLM access to the database and ask it to write the necessary SQL for you!

    Как и зачем мы писали семантический слой для ИИ аналитики – SLayer Казалось бы, что может быть проще: даёшь LLM доступ к БД и просишь написать тебе нужный SQL! Но на практике и ИИ, и человек быстро сталкиваются с одинаковыми проблемами – взрывом кардинальности при JOIN’ах, ошибка…

    LINKS habr.com/…/1033144

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