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Learning to Retrieve: Dual-Level Long-Term Memory for Text-to-SQL Agents

arXiv cs.CL · 2d ago Cached

This paper proposes MERIT, a dynamic multi-horizon memory retrieval framework for interactive text-to-SQL agents that uses episode-level and turn-level memory with learned retrieval policies optimized via reinforcement learning and a process reward model for dense rewards. Experiments on BIRD-Interact and Spider2-Snow show that MERIT outperforms static and single-horizon dynamic baselines in success rate while requiring fewer interaction turns.

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#snowflake

@raydistributed: Try out Ray-powered batch inference on Snowflake

X AI KOLs Following · 2026-05-21 Cached

Snowflake now supports job-based batch inference powered by Ray, enabling distributed GPU execution for scaling model inference over millions of unstructured datapoints with a single API call.

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#snowflake

@cognition: Beau Rothrock had been at @AngelList for two months when he walked into a Redshift-to-Snowflake migration in deep troub…

X AI KOLs Following · 2026-05-15 Cached

Beau Rothrock used Devin, an AI coding agent, to migrate 14,000 dashboards from Redshift to Snowflake in five weeks, overcoming a delayed project.

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#snowflake

Snowflake Postgres, Lakebase, HorizonDB: Picking the Lock-In You Want

Hacker News Top · 2026-05-12 Cached

An analysis of three new Postgres-compatible cloud databases—Snowflake Postgres, Databricks Lakebase, and Azure HorizonDB—highlighting their distinct architectures and the vendor lock-in implications for enterprise data platforms.

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Snowflake and OpenAI partner to bring frontier intelligence to enterprise data

OpenAI Blog · 2026-02-02 Cached

Snowflake and OpenAI announce a $200 million partnership to integrate OpenAI's frontier models directly into Snowflake's data platform, enabling enterprises to build AI agents and generate insights from their data using natural language without coding.

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