Module vector_store 

Vector-store insertion and similarity-search interfaces. VectorStoreIndex implementations also implement PortableTool when their filter is deserializable and uses JSON values.

use rig_core::vector_store::builder::InMemoryVectorStoreBuilder;

let store = InMemoryVectorStoreBuilder::<String>::new().build();

Re-exports

pub use request::VectorSearchRequest;

Modules

builder

Configuration builder for the in-memory vector store.

in_memory_store

In-memory vector storage with cosine scoring and optional approximate candidates.

lsh

Random-projection hashing for approximate vector-search candidates.

request

Vector-search requests and composable metadata filters.

Structs

VectorStoreOutput

Enums

IndexStrategy

Candidate-selection strategy for the in-memory vector store.

VectorStoreError

Errors from vector store operations.

Traits

InsertDocuments

Trait for inserting documents and embeddings into a vector store.

VectorStoreIndex

Trait for querying a vector store by similarity.

Functions

flatten_embedded

Serializes each document to JSON once, then applies f to every (document, embedding) pair, flattening the results into a single vector.