Posts with #NL2SQL

#NL2SQL

Public posts on X that use #NL2SQL.

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  1. AI MDPI@AI_MDPI
    📊 Latest #AI Research – Highlights Why do Chinese NL2SQL systems fail on structural/schema errors? New research says single-encoder is the culprit. Meet CIR-SQL: intent-first, dual-model, and built for Industry 4.0 databases. #NL2SQL #Industry40 Paper:
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  2. Venkatesh R Kamath@Venkateeshhh
    I want to build a Text-to-SQL system from scratch. 🧠 I’m comfortable with coding basics, but the actual NL ➡️ SQL logic is new territory. 🗺️ Q for the pros: If you had to learn this all over again today, what resource would you read first? Drop your gold mines! 👇 #NL2SQL #AI
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  3. Luciano Teixeira✓@Luciano40032264
    I asked in plain language and Oracle AI Database answered in SQL 🧠➡️🗄️ AI + MCP on OCI, NL→SQL over the HR schema, with joins, a subquery and even a data-quality check (106 vs 107) explained by the AI itself. Full post 👇 #OracleAI #MCP #NL2SQL #OCI
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  4. Luca Zavarella MVP@lucazav
    Fabric Data Agents are still English-first. I published a hands-on guide on a quick-win multilingual setup: trial and error, prompt tuning, and guardrails to make it usable today. Hope you'll find it useful! #MicrosoftFabric #DataAgents #NL2SQL #SQL
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  5. Ippokratis Pandis@Hippotas
    @tim_kraska
    @tim_kraska and his team have developed impressive NL2SQL technology and it is enabling Bedrock Knowledge Bases for structure data from the Lakehouse, including Redshift Storage, S3 and S3 Tables. #nl2sql #kb #bedrock #structured #data #lakehouse #redshift #s3 #s3tables
    Tim Kraska @tim_kraska
    Very proud to see Bedrock Knowledge Bases for structured data stored being launched at #reinvent24. Under the hood it uses our novel NL2SQL engine, which we developed over the last year, to make it easy to access structured data as part of Generative AI assistants.
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  6. Tim Kraska✓@tim_kraska
    Very proud to see Bedrock Knowledge Bases for structured data stored being launched at #reinvent24. Under the hood it uses our novel NL2SQL engine, which we developed over the last year, to make it easy to access structured data as part of Generative AI assistants.
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  7. Carl Carrie (@🏠)@carlcarrie
    Saturdays mornings used to be dominated by Bert & Ernie, now they are by self-supervised BERT translation of natural language to SQL #NL2SQL Two sets of Papers/Python: #1 #2
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  8. Mim@mim_djo
    first impression of #qwen3 30B-A3B-Instruct-2507 Local analyzing a wide table in my laptop #mcp #nl2sql #sql
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  9. Mary Anderson@MaryAnders9t
    Just ask: "check the bearing-temperature trend for turbine 3 and predict 24h failure risk." TimechoCLI turns natural language into validated SQL, queries the DB, calls the LLM, writes results back. #NL2SQL #TimechoCLI #ApacheIoTDB #Database
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  10. The ADAPT Centre✓@AdaptCentre
    ADAPT and @Huawei have won the prestigious Emerging Technology Innovation of the Year award at the 2024 Tech Excellence Awards for their groundbreaking Natural Language to SQL (#NL2SQL) translation system. Learn more: #techex24
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  11. xiang@CacheName
    最近在琢磨特定领域NL2SQL的RAG方案应该怎么设计才更合理。还对比了下完全不走RAG、纯靠模型本身能力跑出来的效果。#ai #agent
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  12. Venkatesh R Kamath@Venkateeshhh
    Research phase done. ✅ Time to get my hands dirty. Goal for tonight: Connect a simple LLM to a local SQLite database and get it to answer "How many users signed up last week?" without hallucinating. Starting small. If this works, I tackle JOINs next. 🕷️ #BuildInPublic #NL2SQL
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  13. Google Cloud Japan✓@googlecloud_jp
    🛠これまでデータベースからデータを収集する必要があったものも、#自然言語 から SQL へ変換する #NL2SQL を活用することで、誰もが分析できる環境を実現できます。Google Cloud では、実用的な NL2SQL ソリューションを実装するためのツールセットを提供しています。 #gcpja
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  14. オラクル倶楽部@ora_club
    Deep NL2SQLを搭載したPrivate Agent Factory 26.10を発表
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  15. Techintosh✓@userHandle
    Oracle:AI 代理不能繞過底層權限控管 Oracle 提出 Deep Trust AI Architecture,主張將身分驗證、授權與商業規則下放至資料庫及企業技術堆疊,讓代理人即使透過 MCP 伺服器或 NL2SQL 存取資料,也無法避開底層管控。 治理也延伸到資料與執行環境。AI Data Platform 預計利用既有資料、文件與中繼資料建立可重用的商業脈絡,讓代理人在一致、受控的環境中工作;Fusion Cloud 則保留流程的權限、控制與核准要求,並產生「執行結果憑證」(Outcome Receipt),記錄授權依據、使用證據、決策過程與實際交易明細,供後續稽核。 Oracle 也預告未來治理框架將監控代理人的表現、產出品質、使用量、營運成本與模型漂移,並支援測試、認證及合規管理。 這項主張的關鍵不只是替 AI 增加一道安全閘門,而是把治理點移到「意圖真正變成資料存取與交易行動」的位置。企業若讓代理人處理核心流程,能否追溯每次行動的依據、限制與結果,可能比代理人能做多少事更重要。
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