Multimodal Search — Natural Language Image Search

I will build a multimodal semantic search system using CLIP — enabling users to search your image library or product catalogue using natural language queries rather than exact keyword tags, and enabling reverse image search where similar images are retrieved using an image query. CLIP's joint image-text embedding space allows text queries and image queries to retrieve results from the same index, enabling a natural language query like "red dress with floral pattern" to find relevant images even when none have that exact tag, and allowing a query image to find visually similar images without any text description.

The system covers CLIP embedding generation for your image library, vector index construction, a text-to-image search API, image-to-image similarity search, a search interface for your platform, and relevance evaluation on test queries.