Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace
Machine Learning Blog
This article discusses how to build accurate, secure, and transparent generative AI applications using an AI-native technology stack comprised of Cohere foundation models in Amazon Bedrock and a Weaviate vector database on AWS Marketplace.
Specifically, the article covers:
- Overview of the proposed Retrieval Augmented Generation (RAG) pipeline architecture using Cohere models and Weaviate vector database
- Benefits of Cohere models hosted on Amazon Bedrock for data privacy and security
- Features of the Weaviate AI-native vector database and its deployment options on AWS
- Step-by-step tutorial for implementing the RAG pipeline for a use case of generating targeted ads for vacation rentals
- Potential customizations and alternative deployment options
- Conclusion highlighting the advantages of the proposed AI-native stack for building enterprise-ready generative AI solutions
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