/**
 * Schema conversion codecs.
 */
import type { Codec } from "@kernl-sdk/shared/lib";
import type { FieldSchema, VectorFieldSchema, ScalarFieldSchema } from "@kernl-sdk/retrieval";
import type { AttributeSchema, DistanceMetric } from "@turbopuffer/turbopuffer/resources/namespaces";
type Similarity = VectorFieldSchema["similarity"];
type ScalarType = ScalarFieldSchema["type"];
type TpufType = string;
/**
 * Codec for converting kernl scalar types to Turbopuffer attribute types.
 */
export declare const SCALAR_TYPE: Codec<ScalarType, TpufType>;
/**
 * Codec for converting similarity metric to Turbopuffer distance metric.
 *
 * Turbopuffer supports: cosine_distance, euclidean_squared
 * We support: cosine, euclidean, dot_product
 */
export declare const SIMILARITY: Codec<Similarity, DistanceMetric>;
/**
 * Codec-like converter for FieldSchema to Turbopuffer AttributeSchema.
 *
 * Takes the field name as context since Turbopuffer requires `ann: true`
 * only on the special `vector` attribute.
 */
export declare const FIELD_SCHEMA: {
    encode: (field: FieldSchema, name: string) => AttributeSchema;
    decode: () => never;
};
/**
 * Codec for converting a full schema record.
 *
 * Validates that vector fields are named `vector` since Turbopuffer only
 * supports ANN indexing on that specific attribute name.
 */
export declare const INDEX_SCHEMA: Codec<Record<string, FieldSchema>, Record<string, AttributeSchema>>;
export {};
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