Published inITNEXTImplementing Chat History for AI Applications Using Azure Cosmos DB Go SDKThis 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…1d ago1d ago
Published inITNEXTMigrating data from DynamoDB to Azure Cosmos DBMigrating stateful systems, such as databases, is a complex process. A frequent requirement for customers is to transfer data from DynamoDB…Feb 26Feb 26
Get started with Vector Search in Azure Cosmos DBWith examples in Python, TypeScript, Java and C#Feb 24Feb 24
Use Azure Cosmos DB as a Docker container in CI/CD pipelinesThere are lot of benefits to using Docker containers in CI/CD pipelines, especially for stateful systems like databases. For example, when…Feb 24Feb 24
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
