Data Science-AI-Cloud Sundays - Build a "Second Brain" with BigQuery & Vertex AI (RAG Tutorial)

Автор: Data Science-AI-Cloud with Pablo

Загружено: 2026-01-04

Просмотров: 57

Описание:

Are you tired of AI models "hallucinating" or failing to recognize your company's private data? In this session, we build a Retrieval Augmented Generation (RAG) pipeline from scratch using Google BigQuery and Vertex AI.

We skip the complex vector database setup and use BigQuery to handle everything—storage, embeddings, and vector search—using the SQL you already know. Then, we connect it to Gemini Pro using Python to create a "Chat with Your Data" experience.

What You Will Learn:

1. How to connect BigQuery to Vertex AI foundation models.

2. How to turn text into "math" (Vector Embeddings) using simple SQL.

3. How to perform Semantic Vector Search in BigQuery.

4. How to use Python and Gemini to synthesize factual answers from your data.

Data Science-AI-Cloud Sundays - Build a "Second Brain" with BigQuery & Vertex AI (RAG Tutorial)

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