My kit

I am pleased to announce the AI Application Starter Kit designed for developers interested in building AI applications using Neon as a vector database. This kit provides integration with the pgvector extension for storing and querying embeddings, enabling powerful AI functionalities. It includes a simple chatbot implementation and semantic search capabilities, allowing users to effortlessly interact with the AI ​​and retrieve relevant documents. The kit is structured for ease of use, with extensive documentation to guide users through installation and optimization.

Link to Kit

You can find the repository for the AI ​​Application Starter Kit here . The repository contains a clear README with detailed instructions on how to set up and build your AI applications.

Your journey

I chose this stack because Neon offers a unique and scalable solution for managing Postgres databases, which is essential for AI applications that require efficient data processing. In the process, I learned how to integrate vector databases into AI workflows, optimize vector queries, and build intuitive API endpoints. This project not only expanded my understanding of AI development, but also deepened my appreciation for Neon’s capabilities in managing complex data structures.

I hope this starter kit inspires other developers to explore the possibilities of AI applications with Neon!