Implementing Chat History for AI Applications Using Azure Cosmos DB Go SDK

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB – Built for High-Performance Time Series Workloads
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  1. testcontainers-go

    Testcontainers for Go is a Go package that makes it simple to create and clean up container-based dependencies for automated integration/smoke tests. The clean, easy-to-use API enables developers to programmatically define containers that should be run as part of a test and clean up those resources when the test is done.

    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 blog serves as a practical introduction, covering basic operations like read, upsert, etc. It also demonstrates using the Azure Cosmos DB Linux-based emulator (in preview at the time of writing) for integration tests with Testcontainers for Go.

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. langchaingo

    LangChain for Go, the easiest way to write LLM-based programs in Go

    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 blog serves as a practical introduction, covering basic operations like read, upsert, etc. It also demonstrates using the Azure Cosmos DB Linux-based emulator (in preview at the time of writing) for integration tests with Testcontainers for Go.

  4. cosmosdb-chat-history-langchaingo

    Chat history implementation for Azure Cosmos DB NoSQL API using langchaingo and the Go SDK for Azure Cosmos DB.

    Before exploring the implementation details, it’s a good idea to see the application in action. Refer to the README section of the GitHub repository that provides instructions on how to configure, run and start conversing with the chatbot.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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Did you know that Go is
the 4th most popular programming language
based on number of references?