Build a Knowledge Based System with Vertex AI Vector Search, LangChain and Gemini

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use Vertex AI Vector Search to index documents and create a knowledge base. The knowledge base is utilized to retrieve relevant search results to supply with a query submitted to a large language model (LLM), in this case, Gemini, as context. This technique is known as retrieval augmentation generation (RAG).