Struct VectorPoint 

pub struct VectorPoint {
    pub id: Uuid,
    pub vector: Vec<f32>,
    pub metadata: HashMap<String, Value>,
}

Vector point to be indexed

Fields

id: Uuid

Data point ID

vector: Vec<f32>

Embedding vector

metadata: HashMap<String, Value>

Metadata (type, field, original data)

Implementations

impl VectorPoint

pub fn new(id: Uuid, vector: Vec<f32>) -> Self

Create a new vector point

pub fn with_metadata(self, key: impl Into<String>, value: Value) -> Self

Add metadata field

pub fn merge_dataset_membership(&mut self, previous: &VectorPoint)

Accumulate the dataset membership recorded on a previous point (an existing point with the same id) into self’s DATASET_IDS_KEY array.

Point IDs are content-addressed (UUID v5 of the content), so the same point is indexed once per dataset that contains that content. Vector adapters upsert by id with full replacement, so a plain replace keeps only the last dataset’s scalar dataset_id and silently drops the earlier datasets’ membership — making the content unretrievable when a search is scoped to one of those earlier datasets (the cross-dataset dedup bug). Calling this in index_points upsert paths before replacing an existing point keeps dataset_ids as the union of every dataset the content belongs to, mirroring Python’s belongs_to_set union semantics.

Trait Implementations

impl Clone for VectorPoint

fn clone(&self) -> VectorPoint

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for VectorPoint

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for VectorPoint

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for VectorPoint

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

where __S: Serializer,

Serialize this value into the given Serde serializer.