Embedding Config • Rust AI Agent SDK

EmbeddingConfig: Configuration for embedding generation.

EmbeddingConfig

Defined in the embedding module.

Rust AI Agent SDK

Configuration for embedding generation.

Fields

Name	Type	Description
dimensions	Option<usize>	Number of dimensions for the embedding (model-dependent)
format	"float" or "base64"	-
encoding_format	String	Encoding format: “float” or “base64”
timeout	u64	Timeout in seconds
api_base	Option<String>	Custom API base URL
api_key	Option<String>	API key for authentication

Methods

new

fn new() -> Self

Create a new EmbeddingConfig with defaults

dimensions

fn dimensions(mut self, dimensions: usize) -> Self

Set dimensions

Parameters:

Name	Type
dimensions	usize

encoding_format

fn encoding_format(mut self, format: impl Into<String>) -> Self

Set encoding format

Parameters:

Name	Type
format	impl Into<String>

timeout

fn timeout(mut self, timeout: u64) -> Self

Set timeout

Parameters:

Name	Type
timeout	u64

api_base

fn api_base(mut self, url: impl Into<String>) -> Self

Set API base URL

Parameters:

Name	Type
url	impl Into<String>

api_key

fn api_key(mut self, key: impl Into<String>) -> Self

Set API key

Parameters:

Name	Type
key	impl Into<String>

Source

View on GitHub

praisonai/src/embedding/mod.rs at line 27

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Related Documentation

Rust Configuration

Rust Installation

Rust Embeddings

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