External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Create Embeddings, Vector Search, and RAG with BigQuery

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

Skills: RAG Basics90%Vector Stores80%

Key Takeaways

Creates embeddings, vector search, and RAG with BigQuery to mitigate AI hallucinations

Original Description

This course explores a Retrieval Augmented Generation (RAG) solution in BigQuery to mitigate AI hallucinations. It introduces a RAG workflow that encompasses creating embeddings, searching a vector space, and generating improved answers. The course explains the conceptual reasons behind these steps and their practical implementation with BigQuery. By the end of the course, learners will be able to build a RAG pipeline using BigQuery and generative AI models like Gemini and embedding models to address their own AI hallucination use cases.

Watch on External: Coursera ↗ (saves to browser)

Sign in to unlock AI tutor explanation · ⚡30

More on: RAG Basics

View skill →

High Performance (Realtime) RAG Chains: From Basic to Advanced

High Performance (Realtime) RAG Chains: From Basic to Advanced

Coding the Ultimate RAG Engine from Zero

Coding the Ultimate RAG Engine from Zero

Building Agentic RAG From Scratch in Pure Python

Building Agentic RAG From Scratch in Pure Python

Build an LLM and RAG-based Chat Application using AlloyDB and LangChain

I Built a RAG App to Decode Airline Bureaucracy (So You Don't Have To)

I Built a RAG App to Decode Airline Bureaucracy (So You Don't Have To)

Akamai Developers

RAG Demo for Beginners: Full Hands-On Tutorial in Tamil | Build Your Own RAG AI | Karthik's Show

RAG Demo for Beginners: Full Hands-On Tutorial in Tamil | Build Your Own RAG AI | Karthik's Show

Related Reads

Build a RAG System in Google Colab Before Your Next AI Interview

Learn to build a RAG system in Google Colab to boost your AI interview prep

Dev.to · PandeyC

I thought my PDF parser was done — then I ran it on 80 real resumes

Learn how to improve your PDF parser by testing it on real-world resumes and building a robust RAG pipeline

Dev.to · Zane Kwok

Better retrieval. Better Context, Better Answer

Learn how RAG improves retrieval and context for better answers with LLMs

Better retrieval. Better Context, Better Answer

Learn how RAG improves retrieval and context for better answers, and understand the role of LLMs in this process

Vector Databases Explained: The Complete Guide for 2026

Aishwarya Srinivasan