Zilliz, the company behind Milvus, the world's most widely adopted open-source vector database, today forecasts a major shift in enterprise data interaction: natural language interfaces powered by AI ...
The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools.
This platform’s AI engine translates natural language questions into complex SQL queries, returning answers as visual charts ...
Want to turn raw data into smart insights? These top SQL analytics tools in 2025 will super-charge your querying and reporting workflow. AI2sql: With this tool, ...
Overview: AI-driven SQL tools now help teams explore data with natural language.Modern SQL platforms mix automation with real-time collaboration.Choosing the ri ...
Data Access Shouldnʼt Require a Translator In most enterprises, data access still feels like a locked room with SQL as the ...
Snowflake's approach unifies structured and unstructured data analysis within its platform by treating documents as queryable ...
To enhance reliability, Snowflake’s AI researchers introduced a new evaluation framework called Agent Goal, Plan, Action that ...
Google’s new tool abstracts SQL into a visual interface, helping enterprises manage cloud workload insights without deep technical expertise.
Abstract: This paper introduces G-SQL, a schema-aware and rule-guided framework for translating Natural Language Queries (NLQ) into SQL, designed to support users with limited technical expertise.
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