Knowledge Graph, Vector Store, Graph Store & Retriever Layer

Description: In this video, you will get a complete breakdown of every component that makes up a production-ready Graph RAG system. Understanding these components is essential before you start building. What you will learn: The role of the text index layer: chunks, embeddings, and vector stores What a graph store is and how tools like Neo4j, Neptune, and TigerGraph are used How the retriever layer ties everything together How each component interacts in a complete Graph RAG pipeline Which tools map to which components: NetworkX, ChromaDB, LangChain, and OpenAI This video gives you the comp…