From Concept to Code: LLM + RAG with Couchbase

The post discusses the creation and implementation of a recommendation system that leverages Generative AI (GenAI) and Retrieval Augmented Generation (RAG) techniques. The system uses Couchbase for high-availability architecture and vector similarity search, coupled with LangChain and LangGraph for managing application flows. The focus is on transforming data into embeddings for similarity searches, setting up Couchbase collections and indices, and integrating the results into an LLM application to provide event recommendations.