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Getting started with Valkey using JavaScript
Run existing Redis apps with Valkey and learn how to use it with LangChainValkey is an open source alternative to Redis. It's a community-driven, Linux Foundation project created to keep the project...
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Use AWS Generative AI CDK constructs to speed up app development
Assemble and deploy the infrastructure for a RAG solution using AWS CDK for PythonIn this blog, we will use the AWS Generative AI Constructs Library to deploy a complete RAG application composed of the...
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Maintain chat history in generative AI apps with Valkey
Integrate Valkey with LangChainA while back I wrote up a blog post on how to use Redis as a chat history component with LangChain. Since LangChain already had Redis chat history available as a...
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Use Guardrails to prevent hallucinations in generative AI applications
With Contextual grounding check, you can prevent hallucinations by detecting irrelevant and ungrounded LLM responses.Guardrails for Amazon Bedrock enables you to implement safeguards for your...
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Use Guardrails for safeguarding generative AI applications built using custom...
Learn how the ApplyGuardrail API can provide a flexible way to integrate Guardrails with your generative AI applicationsGuardrails for Amazon Bedrock enables you to implement safeguards for your...
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Use Mistral AI to build generative AI applications with Go
Learn how to use Mistral AI on Amazon Bedrock with AWS SDK for GoMistral AI offers models with varying characteristics across performance, cost, and more:Mistral 7B - The first dense model released by...
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Build generative AI applications in Go using Amazon Titan Text Premier model
Use Amazon Titan Text Premier model with the langchaingo packageIn this blog I will walk you through how to use the Amazon Titan Text Premier model in your Go applications with langchaingo which is a...
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Using AI in your IDE to work with open-source code bases
Let's see how we can add enhancements to the langchaingo project with Amazon Q Developer support in VS CodeThanks to langchaingo, it's possible to build composable generative AI applications using Go....
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Get started with Vector Search in Azure Cosmos DB
This is a guide for folks who are looking for a way to quickly and easily try out the Vector Search feature in Azure Cosmos DB for NoSQL. This app uses a simple dataset of movies to find similar movies...
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Use Azure Cosmos DB as a Docker container in CI/CD pipelines
There are lot of benefits to using Docker containers in CI/CD pipelines, especially for stateful systems like databases. For example, when you run integration tests, each CI job can start the database...
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Migrating data from DynamoDB to Azure Cosmos DB
Migrating stateful systems, such as databases, is a complex process. A frequent requirement for customers is to transfer data from DynamoDB to Azure Cosmos DB for NoSQL. This process involves several...
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Implementing Chat History for AI Applications Using Azure Cosmos DB Go SDK
This blog post covers how to build a chat history implementation using Azure Cosmos DB for NoSQL Go SDK and langchaingo. If you are new to the Go SDK, the sample chatbot application presented in the...
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