Rust quickstart | Embeddings providers

SurrealDB supports vector embeddings for semantic search and machine learning across your data. With integrations for the main embedding providers, you can store, index and query high-dimensional vectors alongside your regular data.

Mistral

use mistralai_client::v1::{client::Client, constants::EmbedModel};

static KEY = std::env::var("MISTRAL_API_KEY").unwrap();

// ...

let client = Client::new(Some(KEY.to_string()), None, None, None)?;
let input = vec!["Joram is the main character in the Darksword Trilogy.".to_string()];

let result = client.embeddings_async(MODEL, input, None).await?;
println!("{:?}", result);

Find a full example in Semantic search in Rust with SurrealDB and Mistral AI.