Sean-Paul Pagani’s Post

Today, we're diving into the cutting edge of Retrieval-Augmented Generation (RAG), a paradigm shift that's turbocharging LLMs with the vast knowledge of your BigQuery data. Think about it: 🤯 - LLMs are powerful, but they're only as good as the data they're trained on. - BigQuery is a data powerhouse, holding the keys to your unique insights. Enter RAG! By seamlessly integrating BigQuery with your LLMs, we unlock a whole new level of intelligence. 🧠 We dive deep into the mechanics, in this blog post we cover: - Understanding RAG's potential: Explore how it transforms LLMs from generic models to highly specialized experts in your domain. - Practical implementation: Learn how to seamlessly connect BigQuery and your LLM, leveraging Google's tools for effortless integration. - Real-world use cases: Discover how RAG unlocks powerful applications, from personalized recommendations to cutting-edge research. Click the link below to read the blog post and discover how to unleash the full potential of your LLMs: https://lnkd.in/e8jacn9a Also see the other blogs in the series and watch this space for more: 1 - Multimodal input to Gemini to BigQuery Schema 2 - Creating marketing campaigns using BigQuery and Gemini models https://lnkd.in/enJ5rxec Watch the video https://lnkd.in/ekzeNcs9 hashtag#RAG hashtag#BigQuery hashtag#LLMs hashtag#AI hashtag#DataAnalytics hashtag#GoogleCloud hashtag#Innovation hashtag#FutureofAI hashtag#LLM hashtag#Gemini hashtag#BigQuery hashtag#datawarehousing hashtag#Cloud hashtag#marketing hashtag#cooldemos hashtag#bigdata hashtag#lakehouse hashtag#genai hashtag#ai hashtag#artificialintelligence hashtag#datamodelling hashtag#google hashtag#dataengineering hashtag#analytics hashtag#ml hashtag#GenerativeAI hashtag#BigQuery hashtag#DataAnalytics hashtag#AIInnovation hashtag#GoogleCloud hashtag#DataScience hashtag#MachineLearning hashtag#gemini hashtag#vertexai hashtag#agents

Today, we're diving into the cutting edge of Retrieval-Augmented Generation (RAG), a paradigm shift that's turbocharging LLMs with the vast knowledge of your BigQuery data. Think about it: 🤯 - LLMs are powerful, but they're only as good as the data they're trained on. - BigQuery is a data powerhouse, holding the keys to your unique insights. Enter RAG! By seamlessly integrating BigQuery with your LLMs, we unlock a whole new level of intelligence. 🧠 We dive deep into the mechanics, in this blog post we cover: - Understanding RAG's potential: Explore how it transforms LLMs from generic models to highly specialized experts in your domain. - Practical implementation: Learn how to seamlessly connect BigQuery and your LLM, leveraging Google's tools for effortless integration. - Real-world use cases: Discover how RAG unlocks powerful applications, from personalized recommendations to cutting-edge research. Click the link below to read the blog post and discover how to unleash the full potential of your LLMs: https://lnkd.in/e8jacn9a Also see the other blogs in the series and watch this space for more: 1 - Multimodal input to Gemini to BigQuery Schema 2 - Creating marketing campaigns using BigQuery and Gemini models https://lnkd.in/enJ5rxec Watch the video https://lnkd.in/ekzeNcs9 hashtag#RAG hashtag#BigQuery hashtag#LLMs hashtag#AI hashtag#DataAnalytics hashtag#GoogleCloud hashtag#Innovation hashtag#FutureofAI hashtag#LLM hashtag#Gemini hashtag#BigQuery hashtag#datawarehousing hashtag#Cloud hashtag#marketing hashtag#cooldemos hashtag#bigdata hashtag#lakehouse hashtag#genai hashtag#ai hashtag#artificialintelligence hashtag#datamodelling hashtag#google hashtag#dataengineering hashtag#analytics hashtag#ml hashtag#GenerativeAI hashtag#BigQuery hashtag#DataAnalytics hashtag#AIInnovation hashtag#GoogleCloud hashtag#DataScience hashtag#MachineLearning hashtag#gemini hashtag#vertexai hashtag#agents

Today, we're diving into the cutting edge of Retrieval-Augmented Generation (RAG), a paradigm shift that's turbocharging LLMs with the vast knowledge of your BigQuery data. Think about it: 🤯 - LLMs are powerful, but they're only as good as the data they're trained on. - BigQuery is a data powerhouse, holding the keys to your unique insights. Enter RAG! By seamlessly integrating BigQuery with your LLMs, we unlock a whole new level of intelligence. 🧠 We dive deep into the mechanics, in this blog post we cover: - Understanding RAG's potential: Explore how it transforms LLMs from generic models to highly specialized experts in your domain. - Practical implementation: Learn how to seamlessly connect BigQuery and your LLM, leveraging Google's tools for effortless integration. - Real-world use cases: Discover how RAG unlocks powerful applications, from personalized recommendations to cutting-edge research. Click the link below to read the blog post and discover how to unleash the full potential of your LLMs: https://lnkd.in/e8jacn9a Also see the other blogs in the series and watch this space for more: 1 - Multimodal input to Gemini to BigQuery Schema 2 - Creating marketing campaigns using BigQuery and Gemini models https://lnkd.in/enJ5rxec Watch the video https://lnkd.in/ekzeNcs9 hashtag#RAG hashtag#BigQuery hashtag#LLMs hashtag#AI hashtag#DataAnalytics hashtag#GoogleCloud hashtag#Innovation hashtag#FutureofAI hashtag#LLM hashtag#Gemini hashtag#BigQuery hashtag#datawarehousing hashtag#Cloud hashtag#marketing hashtag#cooldemos hashtag#bigdata hashtag#lakehouse hashtag#genai hashtag#ai hashtag#artificialintelligence hashtag#datamodelling hashtag#google hashtag#dataengineering hashtag#analytics hashtag#ml hashtag#GenerativeAI hashtag#BigQuery hashtag#DataAnalytics hashtag#AIInnovation hashtag#GoogleCloud hashtag#DataScience hashtag#MachineLearning hashtag#gemini hashtag#vertexai hashtag#agents

Today, we're diving into the cutting edge of Retrieval-Augmented Generation (RAG), a paradigm shift that's turbocharging LLMs with the vast knowledge of your BigQuery data. Think about it: 🤯 - LLMs are powerful, but they're only as good as the data they're trained on. - BigQuery is a data powerhouse, holding the keys to your unique insights. Enter RAG! By seamlessly integrating BigQuery with your LLMs, we unlock a whole new level of intelligence. 🧠 We dive deep into the mechanics, in this blog post we cover: - Understanding RAG's potential: Explore how it transforms LLMs from generic models to highly specialized experts in your domain. - Practical implementation: Learn how to seamlessly connect BigQuery and your LLM, leveraging Google's tools for effortless integration. - Real-world use cases: Discover how RAG unlocks powerful applications, from personalized recommendations to cutting-edge research. Click the link below to read the blog post and discover how to unleash the full potential of your LLMs: https://lnkd.in/e8jacn9a Also see the other blogs in the series and watch this space for more: 1 - Multimodal input to Gemini to BigQuery Schema 2 - Creating marketing campaigns using BigQuery and Gemini models https://lnkd.in/enJ5rxec Watch the video https://lnkd.in/ekzeNcs9 hashtag#RAG hashtag#BigQuery hashtag#LLMs hashtag#AI hashtag#DataAnalytics hashtag#GoogleCloud hashtag#Innovation hashtag#FutureofAI hashtag#LLM hashtag#Gemini hashtag#BigQuery hashtag#datawarehousing hashtag#Cloud hashtag#marketing hashtag#cooldemos hashtag#bigdata hashtag#lakehouse hashtag#genai hashtag#ai hashtag#artificialintelligence hashtag#datamodelling hashtag#google hashtag#dataengineering hashtag#analytics hashtag#ml hashtag#GenerativeAI hashtag#BigQuery hashtag#DataAnalytics hashtag#AIInnovation hashtag#GoogleCloud hashtag#DataScience hashtag#MachineLearning hashtag#gemini hashtag#vertexai hashtag#agents

Today, we're diving into the cutting edge of Retrieval-Augmented Generation (RAG), a paradigm shift that's turbocharging LLMs with the vast knowledge of your BigQuery data. Think about it: 🤯 - LLMs are powerful, but they're only as good as the data they're trained on. - BigQuery is a data powerhouse, holding the keys to your unique insights. Enter RAG! By seamlessly integrating BigQuery with your LLMs, we unlock a whole new level of intelligence. 🧠 We dive deep into the mechanics, in this blog post we cover: - Understanding RAG's potential: Explore how it transforms LLMs from generic models to highly specialized experts in your domain. - Practical implementation: Learn how to seamlessly connect BigQuery and your LLM, leveraging Google's tools for effortless integration. - Real-world use cases: Discover how RAG unlocks powerful applications, from personalized recommendations to cutting-edge research. Click the link below to read the blog post and discover how to unleash the full potential of your LLMs: https://lnkd.in/e8jacn9a Also see the other blogs in the series and watch this space for more: 1 - Multimodal input to Gemini to BigQuery Schema 2 - Creating marketing campaigns using BigQuery and Gemini models https://lnkd.in/enJ5rxec Watch the video https://lnkd.in/ekzeNcs9 hashtag#RAG hashtag#BigQuery hashtag#LLMs hashtag#AI hashtag#DataAnalytics hashtag#GoogleCloud hashtag#Innovation hashtag#FutureofAI hashtag#LLM hashtag#Gemini hashtag#BigQuery hashtag#datawarehousing hashtag#Cloud hashtag#marketing hashtag#cooldemos hashtag#bigdata hashtag#lakehouse hashtag#genai hashtag#ai hashtag#artificialintelligence hashtag#datamodelling hashtag#google hashtag#dataengineering hashtag#analytics hashtag#ml hashtag#GenerativeAI hashtag#BigQuery hashtag#DataAnalytics hashtag#AIInnovation hashtag#GoogleCloud hashtag#DataScience hashtag#MachineLearning hashtag#gemini hashtag#vertexai hashtag#agents

Today, we're diving into the cutting edge of Retrieval-Augmented Generation (RAG), a paradigm shift that's turbocharging LLMs with the vast knowledge of your BigQuery data. Think about it: 🤯 - LLMs are powerful, but they're only as good as the data they're trained on. - BigQuery is a data powerhouse, holding the keys to your unique insights. Enter RAG! By seamlessly integrating BigQuery with your LLMs, we unlock a whole new level of intelligence. 🧠 We dive deep into the mechanics, in this blog post we cover: - Understanding RAG's potential: Explore how it transforms LLMs from generic models to highly specialized experts in your domain. - Practical implementation: Learn how to seamlessly connect BigQuery and your LLM, leveraging Google's tools for effortless integration. - Real-world use cases: Discover how RAG unlocks powerful applications, from personalized recommendations to cutting-edge research. Click the link below to read the blog post and discover how to unleash the full potential of your LLMs: https://lnkd.in/e8jacn9a Also see the other blogs in the series and watch this space for more: 1 - Multimodal input to Gemini to BigQuery Schema 2 - Creating marketing campaigns using BigQuery and Gemini models https://lnkd.in/enJ5rxec Watch the video https://lnkd.in/ekzeNcs9 hashtag#RAG hashtag#BigQuery hashtag#LLMs hashtag#AI hashtag#DataAnalytics hashtag#GoogleCloud hashtag#Innovation hashtag#FutureofAI hashtag#LLM hashtag#Gemini hashtag#BigQuery hashtag#datawarehousing hashtag#Cloud hashtag#marketing hashtag#cooldemos hashtag#bigdata hashtag#lakehouse hashtag#genai hashtag#ai hashtag#artificialintelligence hashtag#datamodelling hashtag#google hashtag#dataengineering hashtag#analytics hashtag#ml hashtag#GenerativeAI hashtag#BigQuery hashtag#DataAnalytics hashtag#AIInnovation hashtag#GoogleCloud hashtag#DataScience hashtag#MachineLearning hashtag#gemini hashtag#vertexai hashtag#agents

Today, we're diving into the cutting edge of Retrieval-Augmented Generation (RAG), a paradigm shift that's turbocharging LLMs with the vast knowledge of your BigQuery data. Think about it: 🤯 - LLMs are powerful, but they're only as good as the data they're trained on. - BigQuery is a data powerhouse, holding the keys to your unique insights. Enter RAG! By seamlessly integrating BigQuery with your LLMs, we unlock a whole new level of intelligence. 🧠 We dive deep into the mechanics, in this blog post we cover: - Understanding RAG's potential: Explore how it transforms LLMs from generic models to highly specialized experts in your domain. - Practical implementation: Learn how to seamlessly connect BigQuery and your LLM, leveraging Google's tools for effortless integration. - Real-world use cases: Discover how RAG unlocks powerful applications, from personalized recommendations to cutting-edge research. Click the link below to read the blog post and discover how to unleash the full potential of your LLMs: https://lnkd.in/e8jacn9a Also see the other blogs in the series and watch this space for more: 1 - Multimodal input to Gemini to BigQuery Schema 2 - Creating marketing campaigns using BigQuery and Gemini models https://lnkd.in/enJ5rxec Watch the video https://lnkd.in/ekzeNcs9 hashtag#RAG hashtag#BigQuery hashtag#LLMs hashtag#AI hashtag#DataAnalytics hashtag#GoogleCloud hashtag#Innovation hashtag#FutureofAI hashtag#LLM hashtag#Gemini hashtag#BigQuery hashtag#datawarehousing hashtag#Cloud hashtag#marketing hashtag#cooldemos hashtag#bigdata hashtag#lakehouse hashtag#genai hashtag#ai hashtag#artificialintelligence hashtag#datamodelling hashtag#google hashtag#dataengineering hashtag#analytics hashtag#ml hashtag#GenerativeAI hashtag#BigQuery hashtag#DataAnalytics hashtag#AIInnovation hashtag#GoogleCloud hashtag#DataScience hashtag#MachineLearning hashtag#gemini hashtag#vertexai hashtag#agents

Today, we're diving into the cutting edge of Retrieval-Augmented Generation (RAG), a paradigm shift that's turbocharging LLMs with the vast knowledge of your BigQuery data. Think about it: 🤯 - LLMs are powerful, but they're only as good as the data they're trained on. - BigQuery is a data powerhouse, holding the keys to your unique insights. Enter RAG! By seamlessly integrating BigQuery with your LLMs, we unlock a whole new level of intelligence. 🧠 We dive deep into the mechanics, in this blog post we cover: - Understanding RAG's potential: Explore how it transforms LLMs from generic models to highly specialized experts in your domain. - Practical implementation: Learn how to seamlessly connect BigQuery and your LLM, leveraging Google's tools for effortless integration. - Real-world use cases: Discover how RAG unlocks powerful applications, from personalized recommendations to cutting-edge research. Click the link below to read the blog post and discover how to unleash the full potential of your LLMs: https://lnkd.in/e8jacn9a Also see the other blogs in the series and watch this space for more: 1 - Multimodal input to Gemini to BigQuery Schema 2 - Creating marketing campaigns using BigQuery and Gemini models https://lnkd.in/enJ5rxec Watch the video https://lnkd.in/ekzeNcs9 hashtag#RAG hashtag#BigQuery hashtag#LLMs hashtag#AI hashtag#DataAnalytics hashtag#GoogleCloud hashtag#Innovation hashtag#FutureofAI hashtag#LLM hashtag#Gemini hashtag#BigQuery hashtag#datawarehousing hashtag#Cloud hashtag#marketing hashtag#cooldemos hashtag#bigdata hashtag#lakehouse hashtag#genai hashtag#ai hashtag#artificialintelligence hashtag#datamodelling hashtag#google hashtag#dataengineering hashtag#analytics hashtag#ml hashtag#GenerativeAI hashtag#BigQuery hashtag#DataAnalytics hashtag#AIInnovation hashtag#GoogleCloud hashtag#DataScience hashtag#MachineLearning hashtag#gemini hashtag#vertexai hashtag#agents

Today, we're diving into the cutting edge of Retrieval-Augmented Generation (RAG), a paradigm shift that's turbocharging LLMs with the vast knowledge of your BigQuery data. Think about it: 🤯 - LLMs are powerful, but they're only as good as the data they're trained on. - BigQuery is a data powerhouse, holding the keys to your unique insights. Enter RAG! By seamlessly integrating BigQuery with your LLMs, we unlock a whole new level of intelligence. 🧠 We dive deep into the mechanics, in this blog post we cover: - Understanding RAG's potential: Explore how it transforms LLMs from generic models to highly specialized experts in your domain. - Practical implementation: Learn how to seamlessly connect BigQuery and your LLM, leveraging Google's tools for effortless integration. - Real-world use cases: Discover how RAG unlocks powerful applications, from personalized recommendations to cutting-edge research. Click the link below to read the blog post and discover how to unleash the full potential of your LLMs: https://lnkd.in/e8jacn9a Also see the other blogs in the series and watch this space for more: 1 - Multimodal input to Gemini to BigQuery Schema 2 - Creating marketing campaigns using BigQuery and Gemini models https://lnkd.in/enJ5rxec Watch the video https://lnkd.in/ekzeNcs9 hashtag#RAG hashtag#BigQuery hashtag#LLMs hashtag#AI hashtag#DataAnalytics hashtag#GoogleCloud hashtag#Innovation hashtag#FutureofAI hashtag#LLM hashtag#Gemini hashtag#BigQuery hashtag#datawarehousing hashtag#Cloud hashtag#marketing hashtag#cooldemos hashtag#bigdata hashtag#lakehouse hashtag#genai hashtag#ai hashtag#artificialintelligence hashtag#datamodelling hashtag#google hashtag#dataengineering hashtag#analytics hashtag#ml hashtag#GenerativeAI hashtag#BigQuery hashtag#DataAnalytics hashtag#AIInnovation hashtag#GoogleCloud hashtag#DataScience hashtag#MachineLearning hashtag#gemini hashtag#vertexai hashtag#agents

Today, we're diving into the cutting edge of Retrieval-Augmented Generation (RAG), a paradigm shift that's turbocharging LLMs with the vast knowledge of your BigQuery data. Think about it: 🤯 - LLMs are powerful, but they're only as good as the data they're trained on. - BigQuery is a data powerhouse, holding the keys to your unique insights. Enter RAG! By seamlessly integrating BigQuery with your LLMs, we unlock a whole new level of intelligence. 🧠 We dive deep into the mechanics, in this blog post we cover: - Understanding RAG's potential: Explore how it transforms LLMs from generic models to highly specialized experts in your domain. - Practical implementation: Learn how to seamlessly connect BigQuery and your LLM, leveraging Google's tools for effortless integration. - Real-world use cases: Discover how RAG unlocks powerful applications, from personalized recommendations to cutting-edge research. Click the link below to read the blog post and discover how to unleash the full potential of your LLMs: https://lnkd.in/e8jacn9a Also see the other blogs in the series and watch this space for more: 1 - Multimodal input to Gemini to BigQuery Schema 2 - Creating marketing campaigns using BigQuery and Gemini models https://lnkd.in/enJ5rxec Watch the video https://lnkd.in/ekzeNcs9 hashtag#RAG hashtag#BigQuery hashtag#LLMs hashtag#AI hashtag#DataAnalytics hashtag#GoogleCloud hashtag#Innovation hashtag#FutureofAI hashtag#LLM hashtag#Gemini hashtag#BigQuery hashtag#datawarehousing hashtag#Cloud hashtag#marketing hashtag#cooldemos hashtag#bigdata hashtag#lakehouse hashtag#genai hashtag#ai hashtag#artificialintelligence hashtag#datamodelling hashtag#google hashtag#dataengineering hashtag#analytics hashtag#ml hashtag#GenerativeAI hashtag#BigQuery hashtag#DataAnalytics hashtag#AIInnovation hashtag#GoogleCloud hashtag#DataScience hashtag#MachineLearning hashtag#gemini hashtag#vertexai hashtag#agents