|
Listen to this story
|
Redis, Inc. today announced the integration of Redis Enterprise Cloud’s vector database capabilities with Amazon Bedrock, a service designed to facilitate the creation of generative AI applications using foundation models (FMs).
This integration will allow customers to ease the process of app creation by capitalizing on developer efficiency and scalability of a fully managed, high-performance database, while making it easy to use an array of leading foundation models (FMs) via API.
As a vector database along with Amazon Bedrock, Redis Enterprise Cloud will offer hybrid semantic search capabilities to pinpoint relevant data. It can also be deployed as an external domain-specific knowledge base. This allows LLMs to receive the most relevant and up-to-date context which improves result quality and reduces undesirable model hallucinations.
For organizations implementing Retrieval Augmented Generation (RAG) architectures or large language model (LLM) caching, this integration eliminates the need to build their own models, customize existing models, or share their proprietary data with a commercial LLM provider.
The integration of Redis Enterprise Cloud and Amazon Bedrock will be available through AWS Marketplace, further enhancing accessibility and convenience for developers and organizations.
“The combination of these robust serverless platforms will help accelerate generative AI application development through efficient infrastructure management and seamless scalability required by these applications.” said Tim Hall, chief product officer at Redis.
“Customers are keen to use techniques like RAG to ensure that FMs deliver accurate and contextualized responses. This integration of Amazon Bedrock and Redis Enterprise Cloud will help customers streamline their generative AI application development process by simplifying data ingestion, management, and RAG in a fully-managed serverless manner.” said Atul Deo, general manager of Amazon Bedrock at AWS.
Sergio Prada, CTO at Metal, highlighted the versatility and reliability of Redis Enterprise Cloud, noting its critical role in their platform’s success. This collaboration between Redis and AWS signifies a step forward in deploying Large Language Model (LLM) applications for enterprises.
