Build conversational search applications using retrieval-augmented generation (RAG) and intelligent agents, with support for machine learning models that improve search accuracy through semantic understanding.

Models can be deployed directly within your own cluster or integrated with models hosted on external platforms, giving you full flexibility in how you run and scale your workloads.

These models convert text into vector embeddings to enable semantic search and also power advanced capabilities such as text generation and question answering.