Nuclia has launched its RAG Lab, aimed at revolutionizing Retrieval-Augmented Generation (RAG) pipelines. The lab allows users to compare search and retrieval methods, test embedding models, experiment with large language models (LLMs), and fine-tune prompts for optimal outputs. This initiative is part of a broader trend where companies like NebulaGraph and Neo4j are integrating RAG with knowledge graphs to enhance enterprise knowledge management. NebulaGraph's RAG is noted for being intuitive, inclusive, and cost-effective. Additionally, experts in the field are exploring ways to optimize RAG pipelines through evaluations, chunkings, and embeddings. Neo4j also offers a DEMO of their knowledge graph builder, further illustrating the practical applications of RAG in business.