docs(store): Integrate supabase into the store package

- Adds documentation for the new store integration

Author: junaidbinfarooq

docs/components/store.rst

@@ -48,6 +48,7 @@ You can find more advanced usage in combination with an Agent using the store fo
 * `Similarity Search with Symfony Cache (RAG)`_
 * `Similarity Search with Typesense (RAG)`_
 * `Similarity Search with Weaviate (RAG)`_
+* `Similarity Search with Supabase (RAG)`_
 
 .. note::
 
@@ -70,6 +71,7 @@ Supported Stores
 * `Pinecone`_ (requires `probots-io/pinecone-php` as additional dependency)
 * `Postgres`_ (requires `ext-pdo`)
 * `Qdrant`_
+* `Supabase`_ (requires manual database setup)
 * `SurrealDB`_
 * `Symfony Cache`_ (requires `symfony/cache` as additional dependency)
 * `Typesense`_
@@ -137,6 +139,7 @@ This leads to a store implementing two methods::
 .. _`Similarity Search with Qdrant (RAG)`: https://github.com/symfony/ai/blob/main/examples/rag/qdrant.php
 .. _`Similarity Search with SurrealDB (RAG)`: https://github.com/symfony/ai/blob/main/examples/rag/surrealdb.php
 .. _`Similarity Search with Typesense (RAG)`: https://github.com/symfony/ai/blob/main/examples/rag/typesense.php
+.. _`Similarity Search with Supabase (RAG)`: https://github.com/symfony/ai/blob/main/examples/rag/supabase.php
 .. _`Similarity Search with Weaviate (RAG)`: https://github.com/symfony/ai/blob/main/examples/rag/weaviate.php
 .. _`Azure AI Search`: https://azure.microsoft.com/products/ai-services/ai-search
 .. _`Chroma`: https://www.trychroma.com/
@@ -154,3 +157,4 @@ This leads to a store implementing two methods::
 .. _`Typesense`: https://typesense.org/
 .. _`Symfony Cache`: https://symfony.com/doc/current/components/cache.html
 .. _`Weaviate`: https://weaviate.io/
+.. _`Supabase`: https://https://supabase.com/

examples/.env

@@ -157,7 +157,7 @@ SCALEWAY_SECRET_KEY=
 # For using DeepSeek
 DEEPSEEK_API_KEY=
 
-# Supabase
+# Supabase (store)
 SUPABASE_URL=
 SUPABASE_API_KEY=
 SUPABASE_TABLE=

examples/commands/stores.php

@@ -24,7 +24,6 @@
 use Symfony\AI\Store\Bridge\Neo4j\Store as Neo4jStore;
 use Symfony\AI\Store\Bridge\Postgres\Store as PostgresStore;
 use Symfony\AI\Store\Bridge\Qdrant\Store as QdrantStore;
-use Symfony\AI\Store\Bridge\Supabase\Store as SupabaseStore;
 use Symfony\AI\Store\Bridge\SurrealDb\Store as SurrealDbStore;
 use Symfony\AI\Store\Bridge\Typesense\Store as TypesenseStore;
 use Symfony\AI\Store\Bridge\Weaviate\Store as WeaviateStore;
@@ -89,15 +88,6 @@
         env('QDRANT_SERVICE_API_KEY'),
         'symfony',
     ),
-    'supabase' => static fn (): SupabaseStore => new SupabaseStore(
-        http_client(),
-        env('SUPABASE_URL'),
-        env('SUPABASE_API_KEY'),
-        env('SUPABASE_TABLE'),
-        env('SUPABASE_VECTOR_FIELD'),
-        env('SUPABASE_VECTOR_DIMENSION'),
-        env('SUPABASE_MATCH_FUNCTION'),
-    ),
     'surrealdb' => static fn (): SurrealDbStore => new SurrealDbStore(
         httpClient: http_client(),
         endpointUrl: env('SURREALDB_HOST'),

examples/rag/supabase.php

@@ -28,16 +28,10 @@
 
 require_once dirname(__DIR__).'/bootstrap.php';
 
-echo "Make sure you've run the SQL setup from SUPABASE_SETUP.md first!\n\n";
-
 $store = new Store(
-    http: http_client(),
+    httpClient: http_client(),
     url: env('SUPABASE_URL'),
     apiKey: env('SUPABASE_API_KEY'),
-    table: env('SUPABASE_TABLE'),
-    vectorFieldName: env('SUPABASE_VECTOR_FIELD'),
-    vectorDimension: (int) env('SUPABASE_VECTOR_DIMENSION'),
-    functionName: env('SUPABASE_MATCH_FUNCTION')
 );
 
 $documents = [];
@@ -51,49 +45,25 @@ functionName: env('SUPABASE_MATCH_FUNCTION')
 }
 
 $platform = PlatformFactory::create(
-    env('OLLAMA_HOST_URL') ?? 'http://localhost:11434',
+    env('OLLAMA_HOST_URL'),
     http_client()
 );
 
-$embeddingModel = new Ollama('mxbai-embed-large');
-$vectorizer = new Vectorizer($platform, $embeddingModel);
+$vectorizer = new Vectorizer($platform, new Ollama('mxbai-embed-large'));
 $loader = new InMemoryLoader($documents);
 $indexer = new Indexer($loader, $vectorizer, $store, logger: logger());
 $indexer->index();
 
-$chatModel = new Ollama('llama3.2:3b');
-
 $similaritySearch = new SimilaritySearch($vectorizer, $store);
 $toolbox = new Toolbox([$similaritySearch], logger: logger());
 $processor = new AgentProcessor($toolbox);
-$agent = new Agent($platform, $chatModel, [$processor], [$processor], logger: logger());
+$agent = new Agent($platform, new Ollama('llama3.2:3b'), [$processor], [$processor], logger: logger());
 
 $messages = new MessageBag(
     Message::forSystem('Please answer all user questions only using SimilaritySearch function.'),
     Message::ofUser('Which movie fits the theme of technology?')
 );
 
-echo "Query: Which movie fits the theme of technology?\n";
-echo "Processing...\n";
+$result = $agent->call($messages);
 
-try {
-    $result = $agent->call($messages);
-    echo '✅ Response: '.$result->getContent()."\n\n";
-} catch (Exception $e) {
-    echo '❌ Error: '.$e->getMessage()."\n\n";
-}
-
-$messages2 = new MessageBag(
-    Message::forSystem('Please answer all user questions only using SimilaritySearch function.'),
-    Message::ofUser('What are some good action movies?')
-);
-
-echo "Query: What are some good action movies?\n";
-echo "Processing...\n";
-
-try {
-    $result2 = $agent->call($messages2);
-    echo '✅ Response: '.$result2->getContent()."\n\n";
-} catch (Exception $e) {
-    echo '❌ Error: '.$e->getMessage()."\n\n";
-}
+echo $result->getContent().\PHP_EOL;

src/ai-bundle/config/options.php

@@ -651,9 +651,14 @@
                         ->useAttributeAsKey('name')
                         ->arrayPrototype()
                             ->children()
+                                ->stringNode('http_client')
+                                    ->cannotBeEmpty()
+                                    ->defaultValue('http_client')
+                                    ->info('Service ID of the HTTP client to use')
+                                ->end()
                                 ->scalarNode('url')->isRequired()->cannotBeEmpty()->end()
                                 ->scalarNode('api_key')->isRequired()->cannotBeEmpty()->end()
-                                ->scalarNode('table')->isRequired()->cannotBeEmpty()->end()
+                                ->scalarNode('table')->end()
                                 ->scalarNode('vector_field')->end()
                                 ->integerNode('vector_dimension')->end()
                                 ->scalarNode('function_name')->end()

src/ai-bundle/src/AiBundle.php

@@ -1323,7 +1323,7 @@ private function processMessageStoreConfig(string $type, array $messageStores, C
         if ('supabase' === $type) {
             foreach ($stores as $name => $store) {
                 $arguments = [
-                    new Reference('http_client'),
+                    isset($store['http_client']) ? new Reference($store['http_client']) : new Definition(HttpClientInterface::class),
                     $store['url'],
                     $store['api_key'],
                 ];

src/store/CHANGELOG.md

@@ -46,6 +46,7 @@ CHANGELOG
    - PostgreSQL with pgvector extension
    - Qdrant
    - Redis
+   - Supabase
    - SurrealDB
    - Typesense
    - Weaviate

src/store/composer.json

@@ -17,6 +17,7 @@
         "pinecone",
         "postgres",
         "qdrant",
+        "supabase",
         "surrealdb",
         "typesense",
         "weaviate"