Implementing semantic image search with Amazon Titan and Supabase Vector

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

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  • supabase

    The open source Firebase alternative.

  • You can find the full application code as a Python Poetry project on GitHub.

  • go-unsplash

    Go Client for the Unsplash API

  • In the root of your project, create a new folder called images and add some images. You can use the images from the example project on GitHub or you can find license free images on unsplash.

  • InfluxDB

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  • Poetry

    Python packaging and dependency management made easy

  • Poetry provides packaging and dependency management for Python. If you haven't already, install poetry via pip:

  • amazon-bedrock-with-builder-and-command-patterns

    A simple, yet powerful implementation in Java that allows developers to write a rather straightforward code to create the API requests for the different foundation models supported by Amazon Bedrock.

  • Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon. Each model is accessible through a common API which implements a broad set of features to help build generative AI applications with security, privacy, and responsible AI in mind.

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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