Accessing insights from BigQuery has traditionally required writing complex SQL queries, which creates bottlenecks for non-technical users. This reliance on technical expertise slows key decisions, complicates data access, and delays insights. BigQuery Verse, an AI-driven tool powered by Retrieval Augmented Generation (RAG), removes this barrier by enabling users to query data using natural language, eliminating the need for coding.

Join us for an exclusive webinar, where experts from Google and Miracle demonstrate how BigQuery Verse converts natural language inputs into precise SQL queries and delivers instant results. Discover real-world use cases and experience live demos that show how this platform understands user intent, retrieves relevant data from Google Cloud’s BigQuery in real time, and generates accurate responses using advanced LLM techniques powered by RAG.

Accessing insights from BigQuery has traditionally required writing complex SQL queries, which creates bottlenecks for non-technical users. This reliance on technical expertise slows key decisions, complicates data access, and delays insights. BigQuery Verse, an AI-driven tool powered by Retrieval Augmented Generation (RAG), removes this barrier by enabling users to query data using natural language, eliminating the need for coding.

Join us for an exclusive webinar, where experts from Google and Miracle demonstrate how BigQuery Verse converts natural language inputs into precise SQL queries and delivers instant results. Discover real-world use cases and experience live demos that show how this platform understands user intent, retrieves relevant data from Google Cloud’s BigQuery in real time, and generates accurate responses using advanced LLM techniques powered by RAG.

Accessing insights from BigQuery has traditionally required writing complex SQL queries, which creates bottlenecks for non-technical users. This reliance on technical expertise slows key decisions, complicates data access, and delays insights. BigQuery Verse, an AI-driven tool powered by Retrieval Augmented Generation (RAG), removes this barrier by enabling users to query data using natural language, eliminating the need for coding.

Join us on July 15, 2025, at 11 AM EST for an exclusive webinar, where experts from Google and Miracle demonstrate how BigQuery Verse converts natural language inputs into precise SQL queries and delivers instant results. Discover real-world use cases and experience live demos that show how this platform understands user intent, retrieves relevant data from Google Cloud’s BigQuery in real time, and generates accurate responses using advanced LLM techniques powered by RAG.

Accessing insights from BigQuery has traditionally required writing complex SQL queries, which creates bottlenecks for non-technical users. This reliance on technical expertise slows key decisions, complicates data access, and delays insights. BigQuery Verse, an AI-driven tool powered by Retrieval Augmented Generation (RAG), removes this barrier by enabling users to query data using natural language, eliminating the need for coding.

Join us on July 15, 2025, at 11 AM EST for an exclusive webinar, where experts from Google and Miracle demonstrate how BigQuery Verse converts natural language inputs into precise SQL queries and delivers instant results. Discover real-world use cases and experience live demos that show how this platform understands user intent, retrieves relevant data from Google Cloud’s BigQuery in real time, and generates accurate responses using advanced LLM techniques powered by RAG.