SQLAI.ai⚡️
@sqlai_ai
Generate, optimize, fix, simplify, explain SQL queries and much more (try cutting-edge new app: https://app.sqlai.ai).
Finally happy about the new SQL optimization solution. Try it out for free here: app.sqlai.ai/generators/sql… (would love some feedback😀)
When generating simpler SQL queries, just choose "Instant" and there is no waiting... ⚡⚡⚡
Optimize SQL query in 3 quick steps with full control (TRY IT FOR FREE)👇 ✅ FULL CONTROL: only apply desired optimizations ✅ SEE EXACT CHANGES: view diff to see side-by-side comparison ✅ MEASURE: run optimized query with each step to see improvements
Now you can connect to #MySQL using URL👇: This enables higher accuracy, database schema autocomplete and ability to run generated queries directly on your database (data insights).
When you run AI generated directly to get valuable data insights, you can now "Copy" or "Download" the results as CSV. Easy peasy 👏 😀
How to generate more precise SQL queries: 1. Ensure that you have selected the data source 2. Use the autocomplete to quickly lookup table and column names 3. Set general "data source rules" that should always be applied to AI when generating queries #sql #database
New feature deployed: "Team Subscriptions" - share subscriptions, data sources, data source rules with your team #sql #ai #database #teams #productivity
New feature: Data source autosuggest⚡️. Type / (slash) and search your tables/columns from your data source. Makes building precise queries even easier! #buildinpublic #sql #database #queries
Data source rules deployed 🚀! Sort of low-tech RAG solution enabling users to specify rules that AI should adhere. Using @prisma I had to ensure it used quotes for case-sensitivity in @PostgreSQL. Results limitation is to avoid to heavy loads. #buildinpublic #sql #database
Currently working on "Data source rules" for improved accuracy. These are quick rules that AI always adheres to when generating queries, e.g. "Wrap tables and columns in quotes", "Limit results to 100 unless specified", "Avoid CTEs". What do you think? 🙂 #buildinpublic #sql
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