Published inAI AdvancesUsing AI in your IDE to work with open-source code basesLet’s see how we can add enhancements to the langchaingo project with Amazon Q Developer support in VS CodeSep 26, 2024Sep 26, 2024
Published inITNEXTBuild generative AI applications in Go using Amazon Titan Text Premier modelUse Amazon Titan Text Premier model with the langchaingo packageSep 3, 2024Sep 3, 2024
Published inITNEXTUse Mistral AI to build generative AI applications with GoLearn how to use Mistral AI on Amazon Bedrock with AWS SDK for GoAug 9, 2024Aug 9, 2024
Published inITNEXTUse Guardrails for safeguarding generative AI applications built using custom or third-party modelsLearn how the ApplyGuardrail API can provide a flexible way to integrate Guardrails with your generative AI applicationsJul 18, 20241Jul 18, 20241
Published inITNEXTUse Guardrails to prevent hallucinations in generative AI applicationsWith Contextual grounding check, you can prevent hallucinations by detecting irrelevant and ungrounded LLM responses.Jul 15, 2024Jul 15, 2024
Published inITNEXTMaintain chat history in generative AI apps with ValkeyIntegrate Valkey with LangChainJul 1, 2024Jul 1, 2024
Published inITNEXTUse AWS Generative AI CDK constructs to speed up app developmentAssemble and deploy the infrastructure for a RAG solution using AWS CDK for PythonJun 26, 2024Jun 26, 2024
Published inITNEXTGetting started with Valkey using JavaScriptRun existing Redis apps with Valkey and learn how to use it with LangChainJun 17, 2024Jun 17, 2024
Published inITNEXTA single API for all your conversational generative AI applicationsUse the Converse API in Amazon Bedrock to create generative AI applications using single API across multiple foundation modelsJun 10, 2024Jun 10, 2024
Published inITNEXTAdd flexibility to your RAG applications in Amazon BedrockUse the right configuration options for your Knowledge BaseJun 4, 2024Jun 4, 2024
