Building an AI Image Gallery with OpenAI CLIP, Claude Sonnet 3.5, and pgvector

Anthropic, a leading AI research company, has introduced Claude Sonnet 3.5, which is quickly becoming the default large language model (LLM) due to its intelligence, speed, and cost-effectiveness. In this article, we learn how to use Claude Sonnet 3.5 and pgvector to build an AI image gallery that lets users search for images and ask questions. The architecture includes a vector database hosted on Timescale Cloud, which allows efficient indexing and querying of high-dimensional vectors. We also explore the Flickr30k dataset as a source of diverse images for our smart image gallery application. By combining these tools with OpenAI's CLIP model, we can create an AI-powered image search gallery that retrieves similar images based on a text query and uses them as context for Sonnet 3.5.