How to Build a Multimodal Search Stack with One API 

In this session, we do a hands-on walkthrough of Qdrant Cloud Inference, the newest way to embed, store, and search in one place.

You'll learn how to combine inference and vector search into a single pipeline without using external infrastructure. 

We'll show you how to:

• Generate embeddings for text or images using pre-integrated models
• Store and search embeddings in the same Qdrant Cloud environment
• Power multimodal (an industry first) and hybrid search with just one API
• Reduce network egress (for non on-prem deployments) fees and simplify your AI stack

Whether you're building a RAG app, scaling an LLM workflow, or just tired of managing separate embedding services, this is the fast track to production-ready search. No glue code. Just results.

Who should watch:

• Everyone from experienced AI/ML engineers to builders with minimal experience in deploying embedding models.