--- title: Build enterprise-ready generative AI solutions with... description: This post discusses how enterprises can build accurate, transparent, and secure generative AI applications while keeping full control over proprietary data. It... canonical: https://daily.dev/posts/build-enterprise-ready-generative-ai-solutions-with-cohere-foundation-models-in-amazon-bedrock-and-w-wfx90yxu8 twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace | daily.dev og:description: This post discusses how enterprises can build accurate, transparent, and secure generative AI applications while keeping full control over proprietary data. It... og:url: https://daily.dev/posts/build-enterprise-ready-generative-ai-solutions-with-cohere-foundation-models-in-amazon-bedrock-and-w-wfx90yxu8 og:image: https://api.daily.dev/og/posts/wFX90YXU8.png og:image:alt: Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace og:image:width: 1200 og:image:height: 630 og:locale: en --- [AWS](https://daily.dev/sources/aws) [Read post](https://api.daily.dev/r/wFX90YXU8) # [Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace](https://api.daily.dev/r/wFX90YXU8 "Go to post") This post discusses how enterprises can build accurate, transparent, and secure generative AI applications while keeping full control over proprietary data. It introduces the RAG pipeline using an AI-native technology stack with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace. [#aws](/tags/aws "Check all #aws posts")[#genai](/tags/genai "Check all #genai posts")[#amazon-bedrock](/tags/amazon-bedrock "Check all #amazon-bedrock posts")[#cohere](/tags/cohere "Check all #cohere posts")[#weaviate](/tags/weaviate "Check all #weaviate posts") Jan 24, 2024•13m read time•From [aws.amazon.com](https://api.daily.dev/r/wFX90YXU8 "aws.amazon.com") [](https://api.daily.dev/r/wFX90YXU8 "Go to post") Table of contents [Solution overview](https://api.daily.dev/r/wFX90YXU8 "Solution overview")[Cohere language models in Amazon Bedrock](https://api.daily.dev/r/wFX90YXU8 "Cohere language models in Amazon Bedrock")[Weaviate vector database on AWS Marketplace](https://api.daily.dev/r/wFX90YXU8 "Weaviate vector database on AWS Marketplace")[Use case overview](https://api.daily.dev/r/wFX90YXU8 "Use case overview")[Conclusion](https://api.daily.dev/r/wFX90YXU8 "Conclusion") 16 Impressions Comment Bookmark Copy Share your thoughtsPost [](https://daily.dev/sources/aws) [AWS](https://daily.dev/sources/aws "https://daily.dev/sources/aws") AWS' platform is a leading cloud computing platform, offering insights into cloud infrastructure, se... 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