Create a RAG Application with BigQuery

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Create a RAG Application with BigQuery

Coursera · Intermediate ·🔍 RAG & Vector Search ·3mo ago

Key Takeaways

Builds a RAG pipeline using BigQuery and Gemini for vector search and generation

Original Description

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you learn how to create a RAG pipeline from embeddings, vector search, to generation with Gemini in BigQuery.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
A Production RAG Pipeline for PDFs: Relational Parsing, TOC Retrieval, Typed Answers
Learn to build a production-ready RAG pipeline for PDFs, enabling efficient document parsing, question answering, and retrieval
Towards Data Science
📰
How to Cut RAG Token Costs 90% by Caching the Prefix
Cut RAG token costs by 90% using prefix caching, reducing the financial burden of large payloads
Medium · AI
📰
How to Cut RAG Token Costs 90% by Caching the Prefix
Cut RAG token costs by 90% by caching the prefix, reducing the payload size and saving on input prices
Medium · Programming
📰
Why Your Chunking Strategy Matters More Than Your Model
Optimizing your chunking strategy can be more crucial to your app's performance than the model you choose, learn why and how to improve it
Medium · RAG
Up next
The Black Box of RAG-1 || 30 days 30 concepts || Day-3
ClearTheAI
Watch →