Here's a neutral and interesting summary of the provided text in one paragraph: The popularity of vector databases for building Retrieval Augmented Generation (RAG) applications has led to an overwhelming number of new products being released, making it difficult for developers to choose the right one. However, existing database vendors are now implementing native "vector data type" features, and RAG platforms like Vectara are taking over by providing a pre-built API that allows enterprise teams to focus on their applications rather than becoming experts in RAG at scale. As these platforms continue to evolve, vector databases are incorporating more RAG features, bringing them closer to the RAG platform vision offered by Vectara. This shift suggests that developers no longer need to implement their own RAG pipelines from scratch and can instead jump directly to using a pre-built, easy-to-use API like Vectara's RAG-as-a-Service.