Creating a RAG with Bigquery and Gemini and Python

[jggomez]

One of the big problems with LLM is hallucinations and its responses are limited depending on the data with which it was trained. Retrieval-Augmented Generation (RAG) offers a solution to connect LLMs with your data and a knowledge database that will allow you to have personalized LLMs. In this talk we will create a RAG using BigQuery that offers high scalability and performance, LangChain as an AI framework, and Gemini