Implementing GraphRAG involves tools like Neo4j for graph databases, Docker for scalability, and Python libraries such as LangChain, making sure efficient and user-friendly data management.

Whether IT leaders opt for the precision of a Knowledge Graph or the efficiency of a Vector DB, the goal remains clear—to harness the power of RAG systems and drive innovation, productivity, and ...