Revanuru Vimala
Member since 2026
Gold League
1386 points
Create Embeddings, Vector Search, and RAG with BigQuery
Earned אפר 21, 2026 EDT
Create Embeddings, Vector Search, and RAG with BigQuery
Earned אפר 21, 2026 EDT
Member since 2026
Create Embeddings, Vector Search, and RAG with BigQuery
Earned אפר 21, 2026 EDT
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.