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Vector Database with Next.js Boilerplate

This Next.js boilerplate is designed to provide a comprehensive setup for your project. It comes pre-configured with the following components:

  • Next.js Setup: The boilerplate includes a well-structured Next.js setup to kickstart your web development project.

  • OpenAI Configuration: We've integrated OpenAI's capabilities into this boilerplate, allowing you to harness the power of AI in your applications.

  • LangChain Configuration: LangChain is a framework designed to simplify the creation of applications using large language models. It seamlessly integrates with this boilerplate and empowers you to leverage language models for various use-cases such as document analysis, summarization, chatbots, and code analysis.

  • Supabase Configuration: While this boilerplate includes Supabase, it's important to note that we're using Supabase solely for Postgres, specifically for storing vector/embeddings. These embeddings will be used to extend the knowledge and capabilities of OpenAI models.

Getting Started

To get started with this boilerplate, follow the guidelines provided in our comprehensive tutorial. This tutorial will walk you through the setup, configurations, and best practices for leveraging the full potential of this boilerplate.

Feel free to explore and customize this boilerplate to suit your project's specific needs. If you have any questions or encounter issues, please refer to the tutorial or reach out to our support channels for assistance. We're here to help you build amazing applications with ease!

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