RAG is more than just embedding search - Instructor

RAG is more than just embedding search¶ With the advent of large language models (LLM), retrieval augmented generation (RAG) has become a hot topic. However throughout the past year of helping startups integrate LLMs into their stack I've noticed that the pattern of taking user queries, embedding them, and directly searching a vector store is effectively demoware. What is RAG? Retrieval augmented