feat!: rename bm25 APIs to paradedb and always use the paradedb access method

paradedb-demo/README.md

@@ -11,9 +11,11 @@ Exercises:
 - `vectorColumn(3)` — native pgvector `vector(3)` column with `number[]` ⇄ `'[x,y,z]'` codec.
 - `paradeDbAll(keyCol)` + `paradeDbL2Distance(vecCol, query)` — vector Top-K (`@@@ pdb.all()` predicate, `<->` ORDER BY, LIMIT).
 - `CREATE EXTENSION pg_search` / `vector` via the docker init scripts (`init/*.sql`).
-- Automatic `CREATE INDEX ... USING bm25 (...) WITH (key_field='...')` via upstream's index-type registry.
+- Automatic `CREATE INDEX ... USING paradedb (...) WITH (key_field='...')` via upstream's index-type registry.
 
-The bm25 index covers the text columns only: released pg_search builds reject vector columns in bm25 indexes (needs branch `mvp/vector-search`, paradedb/paradedb#5685), so vector Top-K runs unaccelerated here. The gated integration test in `test/vector.integration.test.ts` exercises the vector-in-bm25 index (via `renderBm25IndexDdl`) and skips with a clear reason on released builds.
+Requires a pg_search 0.25.0+ server, which registers the `paradedb` index access method; the docker image pin may lag behind, in which case `pnpm db:init` fails until the image catches up.
+
+The ParadeDB index covers the text columns only: vector columns in ParadeDB indexes also need pg_search 0.25.0+ (paradedb/paradedb#5685), so on older builds vector Top-K runs unaccelerated. The gated integration test in `test/vector.integration.test.ts` exercises the vector-in-index DDL (via `renderParadeDbIndexDdl`) and skips with a clear reason when the server lacks support.
 
 ## Run it
 
@@ -35,7 +37,7 @@ pnpm start -- vector '0.1,0.9,0.1' 3
 pnpm test
 ```
 
-`pnpm db:init` produces the BM25 index directly from the `constraints.index([...], { type: 'bm25', options: { key_field: 'id' } })` declaration in `prisma/contract.ts`.
+`pnpm db:init` produces the ParadeDB index directly from the `constraints.index([...], { type: 'paradedb', options: { key_field: 'id' } })` declaration in `prisma/contract.ts`.
 
 Teardown:
 

paradedb-demo/prisma/contract.ts

@@ -29,12 +29,12 @@ export const contract = defineContract(
         Item: Item.sql(({ cols, constraints }) => ({
           table: 'item',
           indexes: [
-            // Listing `cols.embedding` here requires pg_search with vector-in-bm25
-            // support (branch mvp/vector-search); released builds reject vector
-            // columns in bm25 indexes, so the demo indexes text fields only and
-            // vector Top-K falls back to an unaccelerated sort.
+            // Listing `cols.embedding` here requires vector-in-index support
+            // (pg_search 0.25.0+ has it, but the docker image may lag), so the
+            // demo indexes text fields only and vector Top-K falls back to an
+            // unaccelerated sort.
             constraints.index([cols.category, cols.description, cols.id, cols.rating], {
-              type: 'bm25',
+              type: 'paradedb',
               options: { key_field: 'id' },
               name: 'item_bm25_idx',
             }),

paradedb-demo/src/prisma/contract.d.ts

@@ -32,7 +32,7 @@ import type {
 } from '@prisma-next/contract/types';
 
 export type StorageHash =
-  StorageHashBase<'sha256:4de46a86a05ed989a56dc452cdb4906e7822c33bb28cd0c73803592ea30ca55b'>;
+  StorageHashBase<'sha256:a9d70bb2a26470e9db304a036763fda7d1bc77158069e9de655e91f8126c705f'>;
 export type ExecutionHash = ExecutionHashBase<string>;
 export type ProfileHash =
   ProfileHashBase<'sha256:9c8aa3114e84ed3b7ea2bd57526d9c2e1bf7c5292be694e9d3801f566fda7ccb'>;
@@ -141,7 +141,7 @@ type ContractBase = Omit<
                 {
                   readonly columns: readonly ['category', 'description', 'id', 'rating'];
                   readonly name: 'item_bm25_idx';
-                  readonly type: 'bm25';
+                  readonly type: 'paradedb';
                   readonly options: { readonly key_field: 'id' };
                 },
               ];

paradedb-demo/src/prisma/contract.json

@@ -130,7 +130,7 @@
                   "options": {
                     "key_field": "id"
                   },
-                  "type": "bm25"
+                  "type": "paradedb"
                 }
               ],
               "primaryKey": {
@@ -146,7 +146,7 @@
         "kind": "postgres-schema"
       }
     },
-    "storageHash": "sha256:4de46a86a05ed989a56dc452cdb4906e7822c33bb28cd0c73803592ea30ca55b"
+    "storageHash": "sha256:a9d70bb2a26470e9db304a036763fda7d1bc77158069e9de655e91f8126c705f"
   },
   "capabilities": {
     "postgres": {

paradedb-demo/test/vector.integration.test.ts

@@ -1,5 +1,5 @@
 import 'dotenv/config';
-import { renderBm25IndexDdl } from '@prisma-next/extension-paradedb/ddl';
+import { renderParadeDbIndexDdl } from '@prisma-next/extension-paradedb/ddl';
 import pg from 'pg';
 import { beforeAll, describe, expect, it } from 'vitest';
 import { loadAppConfig } from '../src/app-config';
@@ -33,34 +33,42 @@ describe.skipIf(SKIP)('paradedb vector integration', () => {
     expect(rows[0]?.distance).toBeCloseTo(distanceL2(query, [0.2, 0.1, 0.85]), 6);
   });
 
-  // Vector columns inside bm25 indexes need pg_search from branch
-  // `mvp/vector-search` (paradedb/paradedb#5685); released builds reject the
-  // DDL, so this Top-K pushdown coverage skips against current releases.
-  it('creates a bm25 index over the vector column when pg_search supports it', async (ctx) => {
+  // Vector columns inside ParadeDB indexes require pg_search 0.25.0+
+  // (paradedb/paradedb#5685); older builds reject the DDL, so this Top-K
+  // pushdown coverage skips there. A scratch table is used because a relation
+  // may only have one ParadeDB index and `item` already carries the
+  // contract-declared one.
+  it('creates a ParadeDB index over a vector column when pg_search supports it', async (ctx) => {
     const { databaseUrl } = loadAppConfig();
     const client = new pg.Client({ connectionString: databaseUrl });
     await client.connect();
-    const ddl = renderBm25IndexDdl({
-      name: 'item_vector_bm25_idx',
-      table: 'item',
-      schema: 'public',
-      keyField: 'id',
-      columns: ['id', { column: 'embedding', metric: 'l2' }],
-    });
     try {
+      await client.query(
+        'CREATE TABLE public.vector_idx_probe (id int4 PRIMARY KEY, embedding vector(3) NOT NULL)',
+      );
+      await client.query(
+        `INSERT INTO public.vector_idx_probe VALUES (1, '[1,0,0]'), (2, '[0.1,0.9,0.1]'), (3, '[0,0,1]')`,
+      );
+      const ddl = renderParadeDbIndexDdl({
+        name: 'vector_idx_probe_idx',
+        table: 'vector_idx_probe',
+        schema: 'public',
+        keyField: 'id',
+        columns: ['id', { column: 'embedding', metric: 'l2' }],
+      });
       try {
         await client.query(ddl);
       } catch (error) {
         ctx.skip(
-          `pg_search build does not support vector columns in bm25 indexes (needs branch mvp/vector-search): ${String(error)}`,
+          `pg_search build does not support vector columns in its indexes (requires pg_search 0.25.0+): ${String(error)}`,
         );
       }
       const result = await client.query(
-        `SELECT id FROM public.item WHERE id @@@ pdb.all() ORDER BY embedding <-> '[0.1,0.9,0.1]' LIMIT 2`,
+        `SELECT id FROM public.vector_idx_probe WHERE id @@@ pdb.all() ORDER BY embedding <-> '[0.1,0.9,0.1]' LIMIT 2`,
       );
       expect(result.rows[0]?.id).toBe(2);
     } finally {
-      await client.query('DROP INDEX IF EXISTS public.item_vector_bm25_idx');
+      await client.query('DROP TABLE IF EXISTS public.vector_idx_probe CASCADE');
       await client.end();
     }
   });

paradedb/README.md

@@ -4,18 +4,20 @@ ParadeDB full-text and vector search extension pack for Prisma Next.
 
 ## Overview
 
-This extension pack registers a `'bm25'` index type with the SQL family's index-type registry, so contracts can author BM25 full-text search indexes via the standard `constraints.index(...)` surface and the Postgres adapter emits `CREATE INDEX ... USING bm25 WITH (...)` DDL.
+This extension pack registers a `'paradedb'` index type with the SQL family's index-type registry, so contracts can author BM25 full-text search indexes via the standard `constraints.index(...)` surface and the Postgres adapter emits `CREATE INDEX ... USING paradedb WITH (...)` DDL.
+
+Requires pg_search 0.25.0+, which registers the `paradedb` index access method. This release renames the previously bm25-named API (`renderBm25IndexDdl`, the `'bm25'` index type, ...) to paradedb names; older servers and the old names are not supported.
 
 The v1 surface covers the `key_field` storage parameter only. Per-field tokenizer and column configuration is deferred to expression-index support.
 
 It also provides native pgvector `vector(n)` column support (no pgvector ORM library required): a `paradedb/vector@1` codec, a `vectorColumn(n)` column helper, the three pgvector distance operators as query operations, and the `@@@ pdb.all()` match-all predicate required for vector Top-K queries.
 
 ## Responsibilities
 
-- **bm25 index registration**: declares a `'bm25'` entry via `defineIndexTypes()` carrying an arktype validator for the bm25 options shape
+- **Index registration**: declares a `'paradedb'` entry via `defineIndexTypes()` carrying an arktype validator for the options shape
 - **Vector columns**: `vectorColumn(dimensions)` maps to `vector(n)` DDL; the `paradedb/vector@1` codec serializes `number[]` ⇄ `'[1,2,3]'` in both directions
 - **Vector queries**: `paradeDbL2Distance` (`<->`), `paradeDbCosineDistance` (`<=>`), `paradeDbInnerProduct` (`<#>`), and `paradeDbAll` (`@@@ pdb.all()`)
-- **Vector index DDL**: `renderBm25IndexDdl(...)` renders `CREATE INDEX ... USING bm25` statements with per-column vector opclasses for raw migrations
+- **Vector index DDL**: `renderParadeDbIndexDdl(...)` renders `CREATE INDEX ... USING paradedb` statements with per-column vector opclasses for raw migrations
 - **Extension descriptor**: declares the `paradedb/bm25` and `paradedb/vector` capabilities for contract-level feature detection
 - **Pack ref export**: ships a pure `/pack` entrypoint for TypeScript contract authoring
 
@@ -35,7 +37,7 @@ pnpm add @prisma-next/extension-paradedb
 
 ### Contract definition
 
-Author bm25 indexes via the standard `constraints.index(...)` surface; the registered `'bm25'` entry narrows `options` per-`type`:
+Author ParadeDB indexes via the standard `constraints.index(...)` surface; the registered `'paradedb'` entry narrows `options` per-`type`:
 
 ```typescript
 import { int4Column, textColumn } from '@prisma-next/adapter-postgres/column-types';
@@ -58,8 +60,8 @@ export const contract = defineContract({
       table: 'items',
       indexes: [
         constraints.index([cols.body], {
-          name: 'item_body_bm25_idx',
-          type: 'bm25',
+          name: 'item_body_search_idx',
+          type: 'paradedb',
           options: { key_field: 'id' },
         }),
       ],
@@ -74,7 +76,7 @@ ParadeDB BM25 indexes require a `key_field` — a unique column that identifies
 
 ## Vector search
 
-ParadeDB indexes pgvector `vector` columns inside its own bm25 access method. This pack ships the minimal pgvector surface natively — do not install pgvector ORM packages alongside it. Vector-in-bm25 indexing requires a pg_search build from branch `mvp/vector-search` ([paradedb/paradedb#5685](https://github.com/paradedb/paradedb/issues/5685)); on released builds the queries below still run, but without Top-K index acceleration. The `vector` (pgvector) extension must be installed for the column type itself.
+ParadeDB indexes pgvector `vector` columns inside its own index access method. This pack ships the minimal pgvector surface natively — do not install pgvector ORM packages alongside it. Vector-in-index support requires pg_search 0.25.0+ ([paradedb/paradedb#5685](https://github.com/paradedb/paradedb/issues/5685)); on older builds the queries below still run, but without Top-K index acceleration. The `vector` (pgvector) extension must be installed for the column type itself.
 
 ### Vector column declaration
 
@@ -94,18 +96,18 @@ The column emits `vector(3)` DDL and reads/writes `number[]` values.
 
 ### Index creation
 
-Vector columns listed in a `constraints.index([...], { type: 'bm25', ... })` declaration get the bm25 AM's default opclass, `vector_l2_ops` (L2). The contract index surface cannot express per-column opclasses yet, so for the cosine or inner-product metric render the DDL for a raw migration:
+Vector columns listed in a `constraints.index([...], { type: 'paradedb', ... })` declaration get the AM's default opclass, `vector_l2_ops` (L2). The contract index surface cannot express per-column opclasses yet, so for the cosine or inner-product metric render the DDL for a raw migration:
 
 ```typescript
-import { renderBm25IndexDdl } from '@prisma-next/extension-paradedb/ddl';
+import { renderParadeDbIndexDdl } from '@prisma-next/extension-paradedb/ddl';
 
-renderBm25IndexDdl({
+renderParadeDbIndexDdl({
   name: 'item_vector_idx',
   table: 'item',
   keyField: 'id',
   columns: ['id', 'description', { column: 'embedding', metric: 'cosine' }],
 });
-// CREATE INDEX "item_vector_idx" ON "item" USING bm25
+// CREATE INDEX "item_vector_idx" ON "item" USING paradedb
 //   ("id", "description", "embedding" vector_cosine_ops) WITH (key_field = 'id')
 ```
 
@@ -145,7 +147,7 @@ The ORDER BY distance operator must match the index opclass metric; a mismatch d
 ## Not yet implemented
 
 - Per-column / per-expression tokenizer configuration (deferred to expression-index support)
-- Per-column vector opclasses in `constraints.index(...)` (use `renderBm25IndexDdl` meanwhile)
+- Per-column vector opclasses in `constraints.index(...)` (use `renderParadeDbIndexDdl` meanwhile)
 - `halfvec` / `sparsevec` column types
 - `CREATE EXTENSION pg_search` / `CREATE EXTENSION vector` via migration planner (removed with upstream's `databaseDependencies` hook; install the extensions before `db init`)
 - Aggregation and highlight functions

paradedb/src/core/bm25-index-ddl.ts → paradedb/src/core/paradedb-index-ddl.ts

@@ -1,6 +1,6 @@
 export type VectorMetric = 'l2' | 'cosine' | 'ip';
 
-// Opclasses registered by pg_search on the bm25 access method. Same names as
+// Opclasses registered by pg_search on the paradedb access method. Same names as
 // pgvector's but distinct catalog objects; `vector_l2_ops` is the AM default.
 export const VECTOR_OPCLASSES = {
   l2: 'vector_l2_ops',
@@ -16,53 +16,53 @@ export const VECTOR_DISTANCE_OPERATORS = {
   ip: '<#>',
 } as const satisfies Record<VectorMetric, string>;
 
-export interface Bm25VectorIndexColumn {
+export interface ParadeDbVectorIndexColumn {
   readonly column: string;
   readonly metric?: VectorMetric;
 }
 
-export interface Bm25IndexDdlOptions {
+export interface ParadeDbIndexDdlOptions {
   readonly name: string;
   readonly table: string;
   readonly schema?: string;
   readonly keyField: string;
-  readonly columns: ReadonlyArray<string | Bm25VectorIndexColumn>;
+  readonly columns: ReadonlyArray<string | ParadeDbVectorIndexColumn>;
 }
 
 function quoteIdentifier(identifier: string): string {
   if (identifier.length === 0) {
-    throw new Error('renderBm25IndexDdl: identifier cannot be empty');
+    throw new Error('renderParadeDbIndexDdl: identifier cannot be empty');
   }
   if (identifier.includes('\0')) {
-    throw new Error('renderBm25IndexDdl: identifier cannot contain null bytes');
+    throw new Error('renderParadeDbIndexDdl: identifier cannot contain null bytes');
   }
   return `"${identifier.replace(/"/g, '""')}"`;
 }
 
 function escapeLiteral(value: string): string {
   if (value.includes('\0')) {
-    throw new Error('renderBm25IndexDdl: literal cannot contain null bytes');
+    throw new Error('renderParadeDbIndexDdl: literal cannot contain null bytes');
   }
   return value.replace(/'/g, "''");
 }
 
 /**
- * Renders `CREATE INDEX ... USING bm25 (...) WITH (key_field = '...')` DDL,
+ * Renders `CREATE INDEX ... USING paradedb (...) WITH (key_field = '...')` DDL,
  * including per-column vector opclasses that the contract `constraints.index`
  * path cannot express yet. Indexes declared through `constraints.index` get the
  * default `vector_l2_ops` opclass for vector columns; use this helper (in a raw
  * migration) when the index needs the cosine or inner-product metric.
  */
-export function renderBm25IndexDdl(options: Bm25IndexDdlOptions): string {
+export function renderParadeDbIndexDdl(options: ParadeDbIndexDdlOptions): string {
   if (options.columns.length === 0) {
-    throw new Error('renderBm25IndexDdl: at least one column is required');
+    throw new Error('renderParadeDbIndexDdl: at least one column is required');
   }
   const columnNames = options.columns.map((entry) =>
     typeof entry === 'string' ? entry : entry.column,
   );
   if (!columnNames.includes(options.keyField)) {
     throw new Error(
-      `renderBm25IndexDdl: key_field "${options.keyField}" must be listed in columns`,
+      `renderParadeDbIndexDdl: key_field "${options.keyField}" must be listed in columns`,
     );
   }
   const columnList = options.columns
@@ -71,7 +71,7 @@ export function renderBm25IndexDdl(options: Bm25IndexDdlOptions): string {
       const opclass = VECTOR_OPCLASSES[entry.metric ?? 'l2'];
       if (opclass === undefined) {
         throw new Error(
-          `renderBm25IndexDdl: unknown vector metric ${JSON.stringify(entry.metric)}`,
+          `renderParadeDbIndexDdl: unknown vector metric ${JSON.stringify(entry.metric)}`,
         );
       }
       return `${quoteIdentifier(entry.column)} ${opclass}`;
@@ -81,5 +81,5 @@ export function renderBm25IndexDdl(options: Bm25IndexDdlOptions): string {
     options.schema === undefined
       ? quoteIdentifier(options.table)
       : `${quoteIdentifier(options.schema)}.${quoteIdentifier(options.table)}`;
-  return `CREATE INDEX ${quoteIdentifier(options.name)} ON ${qualifiedTable} USING bm25 (${columnList}) WITH (key_field = '${escapeLiteral(options.keyField)}')`;
+  return `CREATE INDEX ${quoteIdentifier(options.name)} ON ${qualifiedTable} USING paradedb (${columnList}) WITH (key_field = '${escapeLiteral(options.keyField)}')`;
 }

paradedb/src/exports/ddl.ts

@@ -1,8 +1,8 @@
 export {
-  type Bm25IndexDdlOptions,
-  type Bm25VectorIndexColumn,
+  type ParadeDbIndexDdlOptions,
+  type ParadeDbVectorIndexColumn,
   type VectorMetric,
-  renderBm25IndexDdl,
+  renderParadeDbIndexDdl,
   VECTOR_DISTANCE_OPERATORS,
   VECTOR_OPCLASSES,
-} from '../core/bm25-index-ddl';
+} from '../core/paradedb-index-ddl';

paradedb/src/exports/index-types.ts

@@ -1,2 +1,2 @@
-export type { Bm25IndexOptions, IndexTypes } from '../types/index-types';
+export type { IndexTypes, ParadeDbIndexOptions } from '../types/index-types';
 export { paradedbIndexTypes } from '../types/index-types';

paradedb/src/types/index-types.ts

@@ -1,12 +1,12 @@
 import { defineIndexTypes } from '@prisma-next/sql-contract/index-types';
 import { type } from 'arktype';
 
-export const paradedbIndexTypes = defineIndexTypes().add('bm25', {
+export const paradedbIndexTypes = defineIndexTypes().add('paradedb', {
   options: type({
     '+': 'reject',
     key_field: 'string',
   }),
 });
 
 export type IndexTypes = typeof paradedbIndexTypes.IndexTypes;
-export type Bm25IndexOptions = IndexTypes['bm25']['options'];
+export type ParadeDbIndexOptions = IndexTypes['paradedb']['options'];