diff --git a/knip.json b/knip.json
index e42dd21c6..3cec36a06 100644
--- a/knip.json
+++ b/knip.json
@@ -16,6 +16,8 @@
         "@databricks/sdk-files",
         "@databricks/sdk-genie",
         "@databricks/sdk-jobs",
+        "@databricks/sdk-uc-tables",
+        "@databricks/sdk-vectorsearch",
         "@databricks/sdk-options",
         "@databricks/sdk-scim",
         "@databricks/sdk-statementexecution",
diff --git a/packages/appkit/package.json b/packages/appkit/package.json
index fd0165dfc..243527830 100644
--- a/packages/appkit/package.json
+++ b/packages/appkit/package.json
@@ -77,6 +77,8 @@
     "@databricks/sdk-files": "0.52.0",
     "@databricks/sdk-genie": "0.54.0",
     "@databricks/sdk-jobs": "0.57.0",
+    "@databricks/sdk-uc-tables": "0.52.0",
+    "@databricks/sdk-vectorsearch": "0.51.0",
     "@databricks/sdk-options": "0.51.0",
     "@databricks/sdk-scim": "0.51.0",
     "@databricks/sdk-statementexecution": "0.52.0",
diff --git a/packages/appkit/src/connectors/ai-search/client.ts b/packages/appkit/src/connectors/ai-search/client.ts
index f4ed44b15..4f49f6064 100644
--- a/packages/appkit/src/connectors/ai-search/client.ts
+++ b/packages/appkit/src/connectors/ai-search/client.ts
@@ -7,10 +7,8 @@ import {
   TelemetryManager,
 } from "../../telemetry";
 import type { WorkspaceClient } from "../../workspace-client";
-import { contextFromAbortSignal } from "../context";
 import type {
   AiSearchConnectorConfig,
-  UcTableInfo,
   VsIndexInfo,
   VsNextPageParams,
   VsQueryParams,
@@ -19,6 +17,28 @@ import type {
 
 const logger = createLogger("connectors:ai-search");
 
+/**
+ * POST through the raw `request()` seam, not the typed `VectorSearchClient`:
+ * its generated model has no `debug_level` (request) or `debug_info` (response),
+ * so unmarshal would strip the timings the plugin reports, and its reranker
+ * shape differs. Raw JSON keeps the exact wire shape `VsRawResponse` describes.
+ */
+async function postJson<T>(
+  workspaceClient: WorkspaceClient,
+  path: string,
+  body: unknown,
+  signal?: AbortSignal,
+): Promise<T> {
+  const res = await workspaceClient.request({
+    method: "POST",
+    path,
+    headers: { "Content-Type": "application/json" },
+    body: JSON.stringify(body),
+    signal,
+  });
+  return (await res.json()) as T;
+}
+
 export class AiSearchConnector {
   private readonly telemetry: TelemetryProvider;
 
@@ -83,17 +103,12 @@ export class AiSearchConnector {
       async (span: Span) => {
         const startTime = Date.now();
         try {
-          const response = (await workspaceClient.apiClient.request(
-            {
-              method: "POST",
-              path: `/api/2.0/vector-search/indexes/${params.indexName}/query`,
-              payload: body,
-              headers: new Headers({ "Content-Type": "application/json" }),
-              raw: false,
-              query: {},
-            },
-            contextFromAbortSignal(signal),
-          )) as VsRawResponse;
+          const response = await postJson<VsRawResponse>(
+            workspaceClient,
+            `/api/2.0/vector-search/indexes/${params.indexName}/query`,
+            body,
+            signal,
+          );
 
           const duration = Date.now() - startTime;
           span.setAttribute("vs.result_count", response.result.row_count);
@@ -153,20 +168,15 @@ export class AiSearchConnector {
       },
       async (span: Span) => {
         try {
-          const response = (await workspaceClient.apiClient.request(
+          const response = await postJson<VsRawResponse>(
+            workspaceClient,
+            `/api/2.0/vector-search/indexes/${params.indexName}/query-next-page`,
             {
-              method: "POST",
-              path: `/api/2.0/vector-search/indexes/${params.indexName}/query-next-page`,
-              payload: {
-                endpoint_name: params.endpointName,
-                page_token: params.pageToken,
-              },
-              headers: new Headers({ "Content-Type": "application/json" }),
-              raw: false,
-              query: {},
+              endpoint_name: params.endpointName,
+              page_token: params.pageToken,
             },
-            contextFromAbortSignal(signal),
-          )) as VsRawResponse;
+            signal,
+          );
 
           span.setAttribute("vs.result_count", response.result.row_count);
           span.setStatus({ code: SpanStatusCode.OK });
@@ -193,16 +203,24 @@ export class AiSearchConnector {
     indexName: string,
     signal?: AbortSignal,
   ): Promise<VsIndexInfo> {
-    return (await workspaceClient.apiClient.request(
-      {
-        method: "GET",
-        path: `/api/2.0/vector-search/indexes/${indexName}`,
-        headers: new Headers({ "Content-Type": "application/json" }),
-        raw: false,
-        query: {},
+    const index = await workspaceClient.vectorSearch.getVectorIndex(
+      { name: indexName },
+      { signal },
+    );
+    // Map the camelCase model back to the snake_case `VsIndexInfo` callers read.
+    const spec =
+      index.indexSpec?.$case === "deltaSyncIndexSpec"
+        ? index.indexSpec.deltaSyncIndexSpec
+        : undefined;
+    return {
+      index_type: index.indexType as VsIndexInfo["index_type"],
+      delta_sync_index_spec: spec && {
+        source_table: spec.sourceTable,
+        embedding_vector_columns: spec.embeddingVectorColumns?.map((c) => ({
+          name: c.name ?? "",
+        })),
       },
-      contextFromAbortSignal(signal),
-    )) as VsIndexInfo;
+    };
   }
 
   /**
@@ -214,16 +232,10 @@ export class AiSearchConnector {
     sourceTable: string,
     signal?: AbortSignal,
   ): Promise<string[]> {
-    const table = (await workspaceClient.apiClient.request(
-      {
-        method: "GET",
-        path: `/api/2.1/unity-catalog/tables/${sourceTable}`,
-        headers: new Headers({ "Content-Type": "application/json" }),
-        raw: false,
-        query: {},
-      },
-      contextFromAbortSignal(signal),
-    )) as UcTableInfo;
-    return (table.columns ?? []).map((c) => c.name);
+    const table = await workspaceClient.tables.getTable(
+      { fullNameArg: sourceTable },
+      { signal },
+    );
+    return (table.columns ?? []).flatMap((c) => (c.name ? [c.name] : []));
   }
 }
diff --git a/packages/appkit/src/connectors/ai-search/types.ts b/packages/appkit/src/connectors/ai-search/types.ts
index 0d3e175b2..f87fefafb 100644
--- a/packages/appkit/src/connectors/ai-search/types.ts
+++ b/packages/appkit/src/connectors/ai-search/types.ts
@@ -31,11 +31,6 @@ export interface VsIndexInfo {
   };
 }
 
-/** Subset of the Unity Catalog get-table response used for column discovery. */
-export interface UcTableInfo {
-  columns?: Array<{ name: string }>;
-}
-
 export interface VsRawResponse {
   manifest: {
     column_count: number;
diff --git a/packages/appkit/src/plugins/ai-search/tests/ai-search.test.ts b/packages/appkit/src/plugins/ai-search/tests/ai-search.test.ts
index f9277932f..b6a2307a0 100644
--- a/packages/appkit/src/plugins/ai-search/tests/ai-search.test.ts
+++ b/packages/appkit/src/plugins/ai-search/tests/ai-search.test.ts
@@ -7,7 +7,6 @@ import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
 
 import { withEnv } from "../../../testing";
 import { useTestCache } from "../../../testing/test-cache";
-import { Context } from "../../../workspace-client";
 
 vi.mock("../../../context", () => ({
   getWorkspaceClient: vi.fn(() => mockWorkspaceClient),
@@ -119,17 +118,28 @@ const validVsResponse = {
   debug_info: { response_time: 35 },
 };
 
+// Records each raw `WorkspaceRequest`; resolves to the JSON body the facade's
+// `request()` would return as a `Response`.
 const mockRequest = vi.fn().mockResolvedValue(validVsResponse);
+const mockGetVectorIndex = vi.fn();
+const mockGetTable = vi.fn();
 const mockWorkspaceClient = {
-  apiClient: { request: mockRequest },
+  request: async (req: unknown) => Response.json(await mockRequest(req)),
+  vectorSearch: { getVectorIndex: mockGetVectorIndex },
+  tables: { getTable: mockGetTable },
 };
 
+/** JSON body of the n-th raw request sent through `request()`. */
+const bodyOf = (n = 0) => JSON.parse(mockRequest.mock.calls[n][0].body);
+
 import { AiSearchPlugin } from "../ai-search";
 
 describe("AiSearchPlugin", () => {
   beforeEach(() => {
     mockRequest.mockClear();
     mockRequest.mockResolvedValue(validVsResponse);
+    mockGetVectorIndex.mockReset();
+    mockGetTable.mockReset();
   });
 
   describe("setup()", () => {
@@ -218,25 +228,22 @@ describe("AiSearchPlugin", () => {
 
   describe("setup() column auto-discovery", () => {
     const originalNodeEnv = process.env.NODE_ENV;
-    // Route GET metadata calls to discovery fixtures; POST queries stay on the
-    // default validVsResponse.
-    const routeByPath = (opts: { method: string; path: string }) => {
-      if (opts.path.endsWith("/query")) return Promise.resolve(validVsResponse);
-      if (opts.path.startsWith("/api/2.0/vector-search/indexes/")) {
-        return Promise.resolve({
-          index_type: "DELTA_SYNC",
-          delta_sync_index_spec: {
-            source_table: "cat.sch.src",
-            embedding_vector_columns: [{ name: "__vec" }],
+    // Discovery goes through the typed modular clients (camelCase models);
+    // queries stay on the raw `request()` mock and its default validVsResponse.
+    const mockDiscovery = () => {
+      mockGetVectorIndex.mockResolvedValue({
+        indexType: "DELTA_SYNC",
+        indexSpec: {
+          $case: "deltaSyncIndexSpec",
+          deltaSyncIndexSpec: {
+            sourceTable: "cat.sch.src",
+            embeddingVectorColumns: [{ name: "__vec" }],
           },
-        });
-      }
-      if (opts.path.startsWith("/api/2.1/unity-catalog/tables/")) {
-        return Promise.resolve({
-          columns: [{ name: "id" }, { name: "body" }, { name: "__vec" }],
-        });
-      }
-      return Promise.resolve(validVsResponse);
+        },
+      });
+      mockGetTable.mockResolvedValue({
+        columns: [{ name: "id" }, { name: "body" }, { name: "__vec" }],
+      });
     };
 
     afterEach(() => {
@@ -245,7 +252,7 @@ describe("AiSearchPlugin", () => {
 
     it("fills columns from the source table in development and warns", async () => {
       process.env.NODE_ENV = "development";
-      mockRequest.mockImplementation(routeByPath);
+      mockDiscovery();
       const plugin = new AiSearchPlugin({
         indexes: { docs: { indexName: "cat.sch.idx" } },
       });
@@ -254,15 +261,20 @@ describe("AiSearchPlugin", () => {
 
       // Discovered columns, minus the embedding vector column.
       await plugin.query("docs", { queryText: "q" });
-      const queryCall = mockRequest.mock.calls.find((c) =>
-        c[0].path.endsWith("/query"),
+      expect(mockGetVectorIndex).toHaveBeenCalledWith(
+        { name: "cat.sch.idx" },
+        expect.anything(),
+      );
+      expect(mockGetTable).toHaveBeenCalledWith(
+        { fullNameArg: "cat.sch.src" },
+        expect.anything(),
       );
-      expect(queryCall?.[0].payload.columns).toEqual(["id", "body"]);
+      expect(bodyOf().columns).toEqual(["id", "body"]);
     });
 
     it("does not discover columns outside development", async () => {
       process.env.NODE_ENV = "production";
-      mockRequest.mockImplementation(routeByPath);
+      mockDiscovery();
       // Columns set so the prod no-columns guard doesn't fire; this test only
       // asserts discovery doesn't run outside development.
       const plugin = new AiSearchPlugin({
@@ -272,25 +284,21 @@ describe("AiSearchPlugin", () => {
       await plugin.setup();
 
       // No get-index / get-table calls were made.
-      const metadataCalls = mockRequest.mock.calls.filter(
-        (c) => !c[0].path.endsWith("/query"),
-      );
-      expect(metadataCalls).toHaveLength(0);
+      expect(mockGetVectorIndex).not.toHaveBeenCalled();
+      expect(mockGetTable).not.toHaveBeenCalled();
     });
 
     it("skips (does not throw) when an index already has columns", async () => {
       process.env.NODE_ENV = "development";
-      mockRequest.mockImplementation(routeByPath);
+      mockDiscovery();
       const plugin = new AiSearchPlugin({
         indexes: { docs: { indexName: "cat.sch.idx", columns: ["id"] } },
       });
 
       await plugin.setup();
 
-      const metadataCalls = mockRequest.mock.calls.filter(
-        (c) => !c[0].path.endsWith("/query"),
-      );
-      expect(metadataCalls).toHaveLength(0);
+      expect(mockGetVectorIndex).not.toHaveBeenCalled();
+      expect(mockGetTable).not.toHaveBeenCalled();
     });
   });
 
@@ -378,16 +386,18 @@ describe("AiSearchPlugin", () => {
         expect.objectContaining({
           method: "POST",
           path: "/api/2.0/vector-search/indexes/cat.sch.idx/query",
+          signal: expect.any(AbortSignal),
         }),
-        // 2nd arg is the SDK Context bridging the execution's abort signal.
-        expect.any(Context),
       );
 
-      const callBody = mockRequest.mock.calls[0][0].payload;
+      const callBody = bodyOf();
       expect(callBody.query_text).toBe("test query");
       expect(callBody.query_type).toBe("HYBRID");
       expect(callBody.num_results).toBe(10);
       expect(callBody.columns).toEqual(["id", "title"]);
+      // Not in the modular request model; the raw `request()` path must keep it
+      // so the response carries `debug_info` (queryTimeMs).
+      expect(callBody.debug_level).toBe(1);
     });
 
     it("throws Error for unknown alias", async () => {
@@ -418,7 +428,7 @@ describe("AiSearchPlugin", () => {
         filters: { category: ["books"] },
       });
 
-      const callBody = mockRequest.mock.calls[0][0].payload;
+      const callBody = bodyOf();
       // VS expects a JSON-encoded string under `filters_json`; a raw object
       // under `filters` is silently ignored by the API.
       expect(callBody.filters).toBeUndefined();
@@ -440,7 +450,7 @@ describe("AiSearchPlugin", () => {
       await plugin.setup();
       await plugin.query("test", { queryText: "test" });
 
-      const callBody = mockRequest.mock.calls[0][0].payload;
+      const callBody = bodyOf();
       expect(callBody.reranker.model).toBe("databricks_reranker");
       expect(callBody.reranker.parameters.columns_to_rerank).toEqual([
         "title",
@@ -464,7 +474,7 @@ describe("AiSearchPlugin", () => {
       await plugin.query("test", { queryText: "test" });
 
       expect(mockEmbeddingFn).toHaveBeenCalledWith("test");
-      const callBody = mockRequest.mock.calls[0][0].payload;
+      const callBody = bodyOf();
       expect(callBody.query_vector).toEqual([0.1, 0.2, 0.3]);
       expect(callBody.query_text).toBeUndefined();
     });
@@ -485,7 +495,7 @@ describe("AiSearchPlugin", () => {
       await plugin.query("test", { queryText: "test" });
 
       expect(mockEmbeddingFn).toHaveBeenCalledWith("test");
-      const callBody = mockRequest.mock.calls[0][0].payload;
+      const callBody = bodyOf();
       expect(callBody.query_vector).toEqual([0.1, 0.2, 0.3]);
       expect(callBody.query_text).toBe("test");
     });
@@ -506,7 +516,7 @@ describe("AiSearchPlugin", () => {
       await plugin.query("test", { queryText: "test" });
 
       expect(mockEmbeddingFn).not.toHaveBeenCalled();
-      const callBody = mockRequest.mock.calls[0][0].payload;
+      const callBody = bodyOf();
       expect(callBody.query_text).toBe("test");
       expect(callBody.query_vector).toBeUndefined();
     });
@@ -613,7 +623,7 @@ describe("AiSearchPlugin", () => {
         columns: ["id"],
       });
 
-      const callBody = mockRequest.mock.calls[0][0].payload;
+      const callBody = bodyOf();
       expect(callBody.query_type).toBe("ANN");
       expect(callBody.num_results).toBe(5);
       expect(callBody.columns).toEqual(["id"]);
@@ -632,7 +642,7 @@ describe("AiSearchPlugin", () => {
       await plugin.setup();
       await plugin.query("test", { queryText: "q" });
 
-      const callBody = mockRequest.mock.calls[0][0].payload;
+      const callBody = bodyOf();
       expect(callBody.reranker.parameters.columns_to_rerank).toEqual(["title"]);
     });
 
@@ -649,7 +659,7 @@ describe("AiSearchPlugin", () => {
       await plugin.setup();
       await plugin.query("test", { queryText: "q", reranker: false });
 
-      const callBody = mockRequest.mock.calls[0][0].payload;
+      const callBody = bodyOf();
       expect(callBody.reranker).toBeUndefined();
     });
 
@@ -661,7 +671,7 @@ describe("AiSearchPlugin", () => {
       });
       await plugin.query("test", { queryText: "q" });
 
-      const callBody = mockRequest.mock.calls[0][0].payload;
+      const callBody = bodyOf();
       expect(callBody.reranker).toBeUndefined();
       expect(callBody.columns).toEqual([]);
     });
@@ -1012,7 +1022,7 @@ describe("AiSearchPlugin", () => {
 
         // demo is configured with columns ["id", "title"]; the request's
         // columns must not widen the projection.
-        const callBody = mockRequest.mock.calls[0][0].payload;
+        const callBody = bodyOf();
         expect(callBody.columns).toEqual(["id", "title"]);
       });
 
@@ -1094,10 +1104,10 @@ describe("AiSearchPlugin", () => {
         expect(mockRequest).toHaveBeenCalledWith(
           expect.objectContaining({
             path: "/api/2.0/vector-search/indexes/cat.sch.paged/query-next-page",
-            payload: { endpoint_name: "ep", page_token: "t" },
+            signal: expect.any(AbortSignal),
           }),
-          expect.any(Context),
         );
+        expect(bodyOf()).toEqual({ endpoint_name: "ep", page_token: "t" });
         expect(res.json).toHaveBeenCalled();
       });
     });
diff --git a/packages/appkit/src/testing/mock-workspace-client.ts b/packages/appkit/src/testing/mock-workspace-client.ts
index bd65eff3d..3b21896a7 100644
--- a/packages/appkit/src/testing/mock-workspace-client.ts
+++ b/packages/appkit/src/testing/mock-workspace-client.ts
@@ -69,6 +69,8 @@ const FACADE_SERVICES = [
   "warehouses",
   "genie",
   "jobs",
+  "vectorSearch",
+  "tables",
   "statementExecution",
   "servingEndpoints",
   "currentUser",
diff --git a/packages/shared/package.json b/packages/shared/package.json
index 451fbcbc0..33df9896a 100644
--- a/packages/shared/package.json
+++ b/packages/shared/package.json
@@ -54,6 +54,8 @@
     "@databricks/sdk-files": "0.52.0",
     "@databricks/sdk-genie": "0.54.0",
     "@databricks/sdk-jobs": "0.57.0",
+    "@databricks/sdk-uc-tables": "0.52.0",
+    "@databricks/sdk-vectorsearch": "0.51.0",
     "@databricks/sdk-options": "0.51.0",
     "@databricks/sdk-scim": "0.51.0",
     "@databricks/sdk-statementexecution": "0.52.0",
diff --git a/packages/shared/src/workspace-client/client.ts b/packages/shared/src/workspace-client/client.ts
index ff0074ca5..e51635507 100644
--- a/packages/shared/src/workspace-client/client.ts
+++ b/packages/shared/src/workspace-client/client.ts
@@ -24,6 +24,10 @@ import {
   type JobsClient,
   buildFilesClient,
   type FilesClient,
+  buildTablesClient,
+  type TablesClient,
+  buildVectorSearchClient,
+  type VectorSearchClient,
   type StatementExecutionClient,
   type WarehousesClient,
   type WorkspaceAuth,
@@ -41,6 +45,8 @@ export class AppKitWorkspaceClient implements WorkspaceClient {
   #genie?: GenieClient;
   #jobs?: JobsClient;
   #files?: FilesClient;
+  #vectorSearch?: VectorSearchClient;
+  #tables?: TablesClient;
 
   constructor(opts: WorkspaceClientOptions) {
     this.#opts = opts;
@@ -78,6 +84,23 @@ export class AppKitWorkspaceClient implements WorkspaceClient {
     return this.#jobs;
   }
 
+  // Migrated to the modular SDK — built lazily, independent of the legacy client.
+  // Migrated to the modular SDK — built lazily, independent of the legacy client.
+  get vectorSearch(): VectorSearchClient {
+    if (!this.#vectorSearch) {
+      this.#vectorSearch = buildVectorSearchClient(this.#opts);
+    }
+    return this.#vectorSearch;
+  }
+
+  // Migrated to the modular SDK — built lazily, independent of the legacy client.
+  get tables(): TablesClient {
+    if (!this.#tables) {
+      this.#tables = buildTablesClient(this.#opts);
+    }
+    return this.#tables;
+  }
+
   // Migrated to the modular SDK — built lazily, independent of the legacy client.
   get statementExecution(): StatementExecutionClient {
     if (!this.#statementExecution) {
diff --git a/packages/shared/src/workspace-client/modular.ts b/packages/shared/src/workspace-client/modular.ts
index b9135ada4..a4b68a77e 100644
--- a/packages/shared/src/workspace-client/modular.ts
+++ b/packages/shared/src/workspace-client/modular.ts
@@ -8,8 +8,8 @@
  *
  * Migrated services are built here as per-service clients; the facade delegates
  * their accessors to these instead of the legacy monolithic client. Currently
- * `warehouses`, `statementExecution`, `currentUser` (SCIM), `genie` and `jobs`
- * are migrated, plus the auth + raw-request seam ({@link buildWorkspaceAuth});
+ * `warehouses`, `statementExecution`, `currentUser` (SCIM), `genie`, `jobs`, `vectorSearch`
+ * and `tables` (UC) are migrated, plus the auth + raw-request seam ({@link buildWorkspaceAuth});
  * every other service still routes through `legacy.ts`.
  *
  * NOTE: statementExecution relies on a pinned pnpm patch
@@ -49,6 +49,8 @@ import { JobsClient } from "@databricks/sdk-jobs/v2";
 import type { ClientOptions } from "@databricks/sdk-options/client";
 import { ScimClient } from "@databricks/sdk-scim/v1";
 import { StatementExecutionClient } from "@databricks/sdk-statementexecution/v1";
+import { TablesClient } from "@databricks/sdk-uc-tables/v1";
+import { VectorSearchClient } from "@databricks/sdk-vectorsearch/v1";
 import { WarehousesClient } from "@databricks/sdk-warehouses/v1";
 
 import { ApiError } from "./errors";
@@ -375,12 +377,30 @@ export function buildFilesClient(opts: WorkspaceClientOptions): FilesClient {
   return new FilesClient(mapToClientOptions(opts));
 }
 
+/**
+ * Build a modular Vector Search client from wrapper options. Only index metadata
+ * (`getVectorIndex`) goes typed: the query endpoints use the raw `request()`
+ * seam because the generated model drops `debug_level` / `debug_info`.
+ */
+export function buildVectorSearchClient(
+  opts: WorkspaceClientOptions,
+): VectorSearchClient {
+  return new VectorSearchClient(mapToClientOptions(opts));
+}
+
+/** Build a modular Unity Catalog Tables client from wrapper options. */
+export function buildTablesClient(opts: WorkspaceClientOptions): TablesClient {
+  return new TablesClient(mapToClientOptions(opts));
+}
+
 // ── Client type re-exports (for the facade accessor types) ───────────────
 export type { FilesClient } from "@databricks/sdk-files/v2";
 export type { GenieClient } from "@databricks/sdk-genie/v1";
 export type { JobsClient } from "@databricks/sdk-jobs/v2";
 export type { ScimClient } from "@databricks/sdk-scim/v1";
 export type { StatementExecutionClient } from "@databricks/sdk-statementexecution/v1";
+export type { TablesClient } from "@databricks/sdk-uc-tables/v1";
+export type { VectorSearchClient } from "@databricks/sdk-vectorsearch/v1";
 export type { WarehousesClient } from "@databricks/sdk-warehouses/v1";
 
 // ── Model type re-exports ────────────────────────────────────────────────
diff --git a/packages/shared/src/workspace-client/types.ts b/packages/shared/src/workspace-client/types.ts
index b737ab401..82b275f90 100644
--- a/packages/shared/src/workspace-client/types.ts
+++ b/packages/shared/src/workspace-client/types.ts
@@ -22,6 +22,8 @@ import type {
   GenieClient,
   JobsClient,
   FilesClient,
+  TablesClient,
+  VectorSearchClient,
 } from "./modular";
 
 // Legacy SDK type namespaces for un-migrated services, re-exported so AppKit
@@ -60,6 +62,12 @@ export interface WorkspaceClient extends WorkspaceAuth {
   /** Jobs (modular SDK, Jobs API 2.2). */
   readonly jobs: JobsClient;
 
+  /** Vector Search (modular SDK; index metadata only, queries use `request()`). */
+  readonly vectorSearch: VectorSearchClient;
+
+  /** Unity Catalog Tables (modular SDK). */
+  readonly tables: TablesClient;
+
   /** Statement Execution (modular SDK). */
   readonly statementExecution: StatementExecutionClient;
 
diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml
index 3c6b8a5cf..c72820060 100644
--- a/pnpm-lock.yaml
+++ b/pnpm-lock.yaml
@@ -307,6 +307,12 @@ importers:
       '@databricks/sdk-statementexecution':
         specifier: 0.52.0
         version: 0.52.0(patch_hash=9377a46b883b548d47116662bf73b159a4da51ec28b9ff1896a7e4a7841c240c)
+      '@databricks/sdk-uc-tables':
+        specifier: 0.52.0
+        version: 0.52.0
+      '@databricks/sdk-vectorsearch':
+        specifier: 0.51.0
+        version: 0.51.0
       '@databricks/sdk-warehouses':
         specifier: 0.53.0
         version: 0.53.0
@@ -649,6 +655,12 @@ importers:
       '@databricks/sdk-statementexecution':
         specifier: 0.52.0
         version: 0.52.0(patch_hash=9377a46b883b548d47116662bf73b159a4da51ec28b9ff1896a7e4a7841c240c)
+      '@databricks/sdk-uc-tables':
+        specifier: 0.52.0
+        version: 0.52.0
+      '@databricks/sdk-vectorsearch':
+        specifier: 0.51.0
+        version: 0.51.0
       '@databricks/sdk-warehouses':
         specifier: 0.53.0
         version: 0.53.0
@@ -2057,6 +2069,14 @@ packages:
     resolution: {integrity: sha512-ymDGDW67PJ/0VujM89mUrE6mbbrabsKJP5LvPv8ZbgzPR0bm0DwXMcQzvS0XUt0UGITjV2gqbx5jQwP3ijtOmg==}
     engines: {node: '>=22.0.0'}
 
+  '@databricks/sdk-uc-tables@0.52.0':
+    resolution: {integrity: sha512-Dlqu3+O1krk6ogBX/uJGUDn1xMdt0gVMvrpmf16XkPelmgzwrbdWWtU2LU/zlcCBrb3XvhPPUpxVVHmyNS8Pjg==}
+    engines: {node: '>=22.0.0'}
+
+  '@databricks/sdk-vectorsearch@0.51.0':
+    resolution: {integrity: sha512-Hr5z5lbT4pt0FV7L+gvKIFdp0PlWtyH14bs6+rJsCxcgwV6BQhuuVecJv8M4FB8QdsDZd2Us/JVIa5LwHHVORA==}
+    engines: {node: '>=22.0.0'}
+
   '@databricks/sdk-warehouses@0.53.0':
     resolution: {integrity: sha512-+NlLn/HP3+5YUxTKlp0+zwsbAGaU2GHl8C+8JlWk04VLmBZhJg/PJnr4WlNrQVTAzqH01dy4DmK7MfqyOetHRg==}
     engines: {node: '>=22.0.0'}
@@ -14407,6 +14427,24 @@ snapshots:
       json-bigint: 1.0.0
       zod: 4.3.6
 
+  '@databricks/sdk-uc-tables@0.52.0':
+    dependencies:
+      '@databricks/sdk-auth': 0.51.0
+      '@databricks/sdk-core': 0.51.0
+      '@databricks/sdk-options': 0.51.0
+      '@js-temporal/polyfill': 0.5.1
+      json-bigint: 1.0.0
+      zod: 4.3.6
+
+  '@databricks/sdk-vectorsearch@0.51.0':
+    dependencies:
+      '@databricks/sdk-auth': 0.51.0
+      '@databricks/sdk-core': 0.51.0
+      '@databricks/sdk-options': 0.51.0
+      '@js-temporal/polyfill': 0.5.1
+      json-bigint: 1.0.0
+      zod: 4.3.6
+
   '@databricks/sdk-warehouses@0.53.0':
     dependencies:
       '@databricks/sdk-auth': 0.51.0