#TextToSQL

AI-to-SQL is not solved. Most demos prove the model can write SQL. Production asks a harder question:can the agent understand which table, join, metric, filter, and business rule actually apply? That is where most failures start. #TextToSQL #SQL

𝗧𝗲𝘅𝘁-𝘁𝗼-𝗦𝗤𝗟 𝗜𝘀 𝗡𝗼𝘁 𝗮 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 Generating SQL is easy. Guaranteeing trust, permissions, and stable semantics is the hard part. AI should assist exploration. Not become the runtime layer. #ai #texttosql #llm #dataengineering

👀 WHAT ARE YOU SHIPPING? Built a SaaS people actually need? Drop your product below 👇 No pitch. No hype. Just show us what you built. 🚀 Let’s discover the next underrated SaaS. 🔥

@TanzilaSha9574 Built Zeroquery: connect any database, get a working AI app - no hand-built APIs, no admin panel. DAB-powered SQL MCP + dynamic UI + human-in-the-loop writes. Open source, MIT 🧵 #MCP #textToSql #OpenSource

Built a self-correcting text-to-SQL agent: LangGraph state machine + Ollama (local LLM) + ChromaDB for schema-aware retrieval, with a read-only SQL validator. A Multi-source orchestration 🧠🗃️🔒 #LangGraph #Ollama #TextToSQL

Point at any database → get a working AI app in 60 sec. ⚡ Zeroquery auto-generates a scoped SQL MCP server, then renders your natural language queries as live tables, charts & cards with human-confirmed writes, not autonomous ones. #TextToSQL #mcp #ai

🚀🤖Dynamic text-to-SQL for enterprise workloads with Amazon Bedrock Agents #GenerativeAI #TextToSQL #AmazonBedrock #DataInsights #CloudComputing

Built Zeroquery: connect any database, get a working AI app — no hand-built APIs, no admin panel. DAB-powered SQL MCP + dynamic UI + human-in-the-loop writes. Open source, MIT 🧵 #MCP #textToSql #SqlToUi #SQL #OpenSource #DAB @tom_doerr @GithubProjects

Data Exploration & Database Tools Kanaries/pygwalker → Turn any dataframe into an interactive Tableau-like UI → Best industry: Business intelligence, data analytics, fintech, internal tools, startups #TextToSQL #DataExplorer #OpenSource #DataScience

🚀🤖Build your gen AI–based text-to-SQL application using RAG, powered by Amazon Bedrock (Claude 3 Sonnet and Amazon Titan for embedding) #SQL #GenerativeAI #TextToSQL #DataAnalysis #NLP

Just published my new Udemy course: Chat with Your Business Data: LLM, RAG, SQL and NoSQL Build an AI data assistant with Text-to-SQL, RAG, Ollama, SQL Server, PostgreSQL, MongoDB, pgvector, FastAPI, and guardrails. #LLM #RAG #TextToSQL #AI

piglets is a text-to-SQL toolkit. Current features: Planning Pruning More features coming soon. All LLM providers supported (via @LangChain). Databases: @googlecloud BigQuery @duckdb @motherduck @Snowflake #texttoSQL

AI can generate SQL that runs perfectly and still returns the wrong number. The real problem may be your schema, joins and metric definitions. #sql #texttosql...Show more

Trying to create a single AI that can answer all business analytics questions is challenging, if not impossible. - #artificialintelligence #texttosql

Hey @theo a little bird whispered in our ear that you wanted some SQL help? #texttosql #aitosql #database #SQL

🎉 Thrilled to share that my internship at Microsoft, titled "MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL" has been accepted at the at AAAI 2025 (Main)! together w/ Christian Pölitz and Xinye Tang! #AAAI2025 #AAAI #NLP #Microsoft #SelfCorrection 1/9

@arian_ask Impressive work! Have you considered tò test your approach on other less known benchmarks? Zero-shot Performances seems to be overestimated for famous benchmarks. See how #DataContamination impact on #TextToSQL at

Day 85 of #100DaysOfLearningChallenge!🌉 1. 1 LeetCode 2. Today's highlight was this research paper: Innovative approach to building state-of-the-art text-to-SQL models For those curious to explore further, check out the link in the comments. #TextToSQL #AI #LLM #SyntheticData

We’ll be at #EMNLP2025 presenting TinySQL! Really looking forward to discussing reasoning circuits, dataset design, and model control with everyone. Poster, paper, and repo all here 👉 Come say hi this Friday! 😊 #MechanisticInterpretability #TextToSQL

We’re presenting TinySQL: A Progressive Text-to-SQL Dataset for Mechanistic Interpretability Research at #EMNLP2025. 📍 Hall C, Session 15 🗓 Friday, Nov 7 | 14:00–15:30 Come by our poster to discuss! #TinySQL #Interpretability #TextToSQL #AISafety

Snowflake’s ExCoT: Optimizing Open-Source LLMs with CoT Reasoning and DPO for Enhanced Text-to-SQL Accuracy #ExCoT #LLMoptimization #TextToSQL #AIinBusiness #DataAnalytics

📢Gretel Releases World's Largest Dataset @Gretel's release of the world's largest text-to-SQL dataset is revolutionizing AI training, unlocking new possibilities for businesses worldwide. Know more: #AI #SyntheticData #TextToSQL #OpenSource #AITraining

MAG-SQL: A Multi-Agent Generative Approach Achieving 61% Accuracy on BIRD Dataset Using GPT-4 for Enhanced Text-to-SQL Query Refinement #TextToSQL #DataAccessibility #MAGSQL #AIautomation #CustomerEngagement #ai #news #llm #ml #research #ainews #innova…