Vector embeddings

The quickest way to retrieve vector embeddings is to use the fastembed crate, which does not require a user key or calling into an external service.

The following blog posts include runnable examples using vector embeddings via the Rust SDK.

• Building an AI-native multi-model UI with SurrealDB : a UI built with Iced.rs with OpenAI and Mistral embeddings
• Hybrid vector + text Search in the terminal with SurrealDB and Ratatui: a UI built with Ratatui.rs with OpenAI and Mistral embeddings
• Make a medical chatbot using GraphRAG with SurrealDB + LangChain
• Semantic search in Rust with SurrealDB and Mistral AI
• Semantic search with SurrealDB and OpenAI
• Building a smart knowledge agent with SurrealDB and Rig.rs