Crate rig_vectorize 

Cloudflare Vectorize integration for the Rig framework.

This crate provides a vector store implementation using Cloudflare Vectorize, a globally distributed vector database built for AI applications.

Example

use rig::providers::openai;
use rig_vectorize::VectorizeVectorStore;

let openai = openai::Client::from_env();
let embedding_model = openai.embedding_model(openai::TEXT_EMBEDDING_3_SMALL);

let vector_store = VectorizeVectorStore::new(
    embedding_model,
    "your-account-id",
    "your-index-name",
    std::env::var("CLOUDFLARE_API_TOKEN").unwrap(),
);

Structs

DeleteByIdsRequest

Request body for the Vectorize delete_by_ids endpoint.

DeleteResult

Result payload from a delete_by_ids request.

ListVectorsResult

Result payload from a list_vectors request.

QueryRequest

Request body for the Vectorize query endpoint.

QueryResult

Result payload from a query request.

UpsertRequest

Request body for the Vectorize upsert endpoint.

UpsertResult

Result payload from an upsert request.

VectorIdEntry

A vector ID entry from the list_vectors response.

VectorInput

A single vector to be inserted or upserted.

VectorMatch

A single matching vector from a query.

VectorizeClient

HTTP client wrapper for Vectorize API operations.

VectorizeFilter

Filter for Vectorize vector search queries.

VectorizeVectorStore

A vector store backed by Cloudflare Vectorize.

Enums

ReturnMetadata

Options for what metadata to return in query results.

VectorizeError

Errors that can occur when interacting with Cloudflare Vectorize.