docs: update mixedbread integration API and docs (#2805)

.changeset/warm-rules-obey.md

@@ -0,0 +1,5 @@
+---
+'fumadocs-core': minor
+---
+
+Update mixedbread integration API and docs

apps/docs/content/docs/headless/search/mixedbread.mdx

@@ -5,7 +5,7 @@ description: Integrate Mixedbread Search with Fumadocs
 
 ## Introduction
 
-The Mixedbread Integration uses vector search to provide semantic search capabilities for your documentation. It indexes your documentation content into a vector store, enabling users to search using natural language queries and find relevant content based on meaning rather than just keyword matching.
+The Mixedbread Integration uses vector search to provide semantic search capabilities for your documentation. It indexes your documentation content into a store, enabling users to search using natural language queries and find relevant content based on meaning rather than just keyword matching.
 
 ## Setup
 
@@ -15,13 +15,13 @@ The Mixedbread Integration uses vector search to provide semantic search capabil
 2. Navigate to [API Keys](https://platform.mixedbread.com/platform?next=api-keys)
 3. Create a new API key and store it in your environment variables
 
-### Create a Vector Store
+### Create a Store
 
-To sync your documentation, you'll need to create a vector store:
+To sync your documentation, you'll need to create a store:
 
-1. Go to the [Vector Stores](https://platform.mixedbread.com/platform?next=vector-stores) in your Mixedbread dashboard
-2. Create a new vector store for your documentation
-3. Copy the vector store ID
+1. Go to the [Stores](https://platform.mixedbread.com/platform?next=stores) in your Mixedbread dashboard
+2. Create a new store for your documentation
+3. Copy the store ID
 
 ### Sync Documentation
 
@@ -40,10 +40,10 @@ Configure authentication and sync your documentation:
 mxbai config keys add YOUR_API_KEY
 
 # Sync your documentation
-mxbai vs sync YOUR_VECTOR_STORE_ID "./content/docs"
+mxbai vs sync YOUR_STORE_ID "./content/docs"
 ```
 
-The CLI will automatically detect changes in your documentation and update the vector store accordingly.
+The CLI will automatically detect changes in your documentation and update the store accordingly.
 
 ### Workflow
 
@@ -52,7 +52,7 @@ You can automatically sync your documentation by adding a sync script to your `p
 ```json
 {
   "scripts": {
-    "build": "... && mxbai vs sync YOUR_VECTOR_STORE_ID './content/docs' --ci"
+    "build": "... && mxbai vs sync YOUR_STORE_ID './content/docs' --ci"
   }
 }
 ```

apps/docs/content/docs/ui/search/mixedbread.mdx

@@ -7,7 +7,7 @@ description: Using Mixedbread with Fumadocs UI.
 
 1. Integrate [Mixedbread Search](/docs/headless/search/mixedbread).
 
-2. Create a search dialog, replace `apiKey` and `vectorStoreId` with your desired values.
+2. Create a search dialog, update `apiKey` and `storeIdentifier` with your desired values.
 
    <include meta='title="components/search.tsx"'>./mixedbread.tsx</include>
 

apps/docs/content/docs/ui/search/mixedbread.tsx

@@ -26,7 +26,7 @@ export default function CustomSearchDialog(props: SharedProps) {
   const { search, setSearch, query } = useDocsSearch({
     type: 'mixedbread',
     client,
-    vectorStoreId: 'vectorStoreId',
+    storeIdentifier: 'your_store_identifier',
     locale,
   });
 

packages/core/package.json

@@ -165,7 +165,7 @@
     "zod": "^4.2.1"
   },
   "peerDependencies": {
-    "@mixedbread/sdk": "^0.19.0",
+    "@mixedbread/sdk": "^0.46.0",
     "@orama/core": "1.x.x",
     "@tanstack/react-router": "1.x.x",
     "@types/react": "*",

packages/core/src/search/client/mixedbread.ts

@@ -6,9 +6,9 @@ import type { StoreSearchResponse } from '@mixedbread/sdk/resources/stores';
 
 export interface MixedbreadOptions {
   /**
-   * The ID of the vector store to search in
+   * The identifier of the store to search in
    */
-  vectorStoreId: string;
+  storeIdentifier: string;
 
   /**
    * The Mixedbread SDK client instance
@@ -63,7 +63,7 @@ export async function search(
   query: string,
   options: MixedbreadOptions,
 ): Promise<SortedResult[]> {
-  const { client, vectorStoreId, tag } = options;
+  const { client, storeIdentifier, tag } = options;
 
   if (!query.trim()) {
     return [];
@@ -71,7 +71,7 @@ export async function search(
 
   const res = await client.stores.search({
     query,
-    store_identifiers: [vectorStoreId],
+    store_identifiers: [storeIdentifier],
     top_k: 10,
     filters: {
       key: 'generated_metadata.tag',