Struct VertexAiRagMemoryConfig 

pub struct VertexAiRagMemoryConfig {
    pub corpus: String,
    pub project: String,
    pub location: String,
    pub similarity_top_k: Option<u32>,
    pub vector_distance_threshold: Option<f64>,
}

Configuration for the Vertex AI RAG memory service.

Fields

corpus: String

The RAG corpus resource name. Format: projects/{project}/locations/{location}/ragCorpora/{corpus_id}

project: String

Google Cloud project ID.

location: String

Google Cloud location (e.g. us-central1).

similarity_top_k: Option<u32>

Number of contexts to retrieve (maps to similarity_top_k).

vector_distance_threshold: Option<f64>

Only return contexts with a vector distance smaller than this threshold.

Implementations

impl VertexAiRagMemoryConfig

pub fn from_corpus(corpus: impl Into<String>) -> Self

Create a new config from a corpus resource name, deriving the project / location from it when fully-qualified.

Trait Implementations

impl Clone for VertexAiRagMemoryConfig

fn clone(&self) -> VertexAiRagMemoryConfig

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for VertexAiRagMemoryConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.