Struct VectorStoreConfig 

pub struct VectorStoreConfig {
    pub enabled: bool,
    pub embedding_provider: String,
    pub embedding_model: String,
    pub storage_path: Option<String>,
    pub semantic_search_limit: usize,
    pub similarity_threshold: f32,
}

Vector store configuration

Fields

enabled: bool

Enable vector store for long-term memory

embedding_provider: String

Embedding provider (openai, openai-compatible)

embedding_model: String

Embedding model (e.g., text-embedding-ada-002)

storage_path: Option<String>

Storage path (optional, defaults to in-memory)

semantic_search_limit: usize

Number of top results to retrieve for semantic search

similarity_threshold: f32

Similarity threshold for semantic search (0.0 to 1.0)

Trait Implementations

impl Clone for VectorStoreConfig

fn clone(&self) -> VectorStoreConfig

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for VectorStoreConfig

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

Formats the value using the given formatter.

impl Default for VectorStoreConfig

fn default() -> Self

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for VectorStoreConfig

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for VectorStoreConfig

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.