.NET on AWS Blog

Category: Amazon Bedrock

Implementing Semantic Search using Amazon Bedrock and RDS for PostgreSQL in .NET

Introduction Large language models (LLMs) are driving the rapid growth of semantic search applications. Semantic search understands both user intent and content context, rather than just matching keywords. LLMs enhance this capability through their advanced language processing abilities. These AI models can process multiple content formats, including text, images, audio, and video. The users receive […]

Empowering .NET Developers: C# in Amazon SageMaker Jupyter Notebooks using Amazon Bedrock

Razvan Pat contributed to this article. Introduction As .NET developers, we often find ourselves at a crossroads when venturing into the world of machine learning and AI. While Python dominates this space, what if you could leverage your C# skills in a powerful machine learning (ML) environment? That’s exactly what we’re exploring today: how to […]

Generate images using Amazon Bedrock with stability diffusion model in .NET

Introduction Amazon Bedrock is a fully-managed serverless service which provides high-performing Foundation Models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, and Stability AI. Amazon Bedrock offers developers the flexibility to select the most suitable Generative AI model based on their specific requirements. You can build generative artificial intelligence (AI) applications […]

Building a Conversational Document Bot on Amazon Bedrock and Amazon Textract with .NET Windows Forms

Introduction The growth in developing and launching Generative AI solutions is unprecedented. Most content available to help developers is in Python. While this may be the majority, many developers maintain and evolve long-lasting lines of business applications developed on .NET. Enterprises have invested a lot into these legacy applications, and it would be difficult for […]