Building LLM Applications with Redis on Google’s Vertex AI Platform
原文英文，约2100词，阅读约需8分钟。发表于：。Google’s Vertex AI platform recently integrated generative AI capabilities, including the PaLM 2 chat model and an in-console generative AI studio. Here, you learn about a novel reference architecture and how to get the most from these tools with your existing Redis investment. Generative AI, a fast-growing AI subset, has captured significant attention for its […] The post Building LLM Applications with Redis on Google’s Vertex AI Platform appeared first on Redis.
Google's Vertex AI platform integrates generative AI capabilities, including the PaLM 2 chat model and an in-console generative AI studio. GCP aims to democratize access to generative AI with robust security, data governance, and scalability. Redis, a vector database, is a popular solution for the data layer. GCP and Redis Enterprise offer a reference architecture for scalable language model applications using Vertex AI, BigQuery, and Redis Enterprise. The architecture supports various LLM applications, such as chatbots and virtual shopping assistants. The combination of GCP and Redis provides a reliable foundation for LLM applications, offering architectural simplification, optimized performance, and accelerated time to market.
