Enum VectorDb 

pub enum VectorDb {
    None,
    SqliteVec,
    LanceDb,
}

Vector database backend for approximate (semantic) text search.

Select based on what your host machine supports:

Variant	Description
none	Vector search disabled (default, no extra dependencies)
sqlite_vec	sqlite-vec extension, integrated with the SQLite cache
lancedb	LanceDB, suitable for multimodal / larger-scale use

Variants

None

Vector search is disabled. No embedding model is required.

SqliteVec

Use the sqlite-vec extension, stored inside the existing SQLite cache database. Lightweight and requires no additional infrastructure.

LanceDb

Use LanceDB for vector storage. More capable and suitable for future multimodal embeddings, but requires a separate data directory.

Implementations

impl VectorDb

pub fn as_str(self) -> &'static str

Human-readable name shown in config show output.

Trait Implementations

impl Clone for VectorDb

fn clone(&self) -> VectorDb

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for VectorDb

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

Formats the value using the given formatter.

impl Default for VectorDb

fn default() -> VectorDb

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for VectorDb

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for VectorDb

fn eq(&self, other: &VectorDb) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for VectorDb

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for VectorDb

impl Eq for VectorDb

impl StructuralPartialEq for VectorDb