docs(store): Integrate supabase into the store package

- Adds documentation for the new store integration

Author: junaid farooq

examples/.env

@@ -112,6 +112,46 @@ LMSTUDIO_HOST_URL=http://127.0.0.1:1234
 QDRANT_HOST=http://127.0.0.1:6333
 QDRANT_SERVICE_API_KEY=changeMe
 
+# SurrealDB (store)
+SURREALDB_HOST=http://127.0.0.1:8000
+SURREALDB_USER=symfony
+SURREALDB_PASS=symfony
+
+# Neo4J (store)
+NEO4J_HOST=http://127.0.0.1:7474
+NEO4J_DATABASE=neo4j
+NEO4J_USERNAME=neo4j
+NEO4J_PASSWORD=symfonyai
+
+# Typesense (store)
+TYPESENSE_HOST=http://127.0.0.1:8108
+TYPESENSE_API_KEY=changeMe
+
+# Milvus (store)
+MILVUS_HOST=http://127.0.0.1:19530
+MILVUS_API_KEY=root:Milvus
+MILVUS_DATABASE=symfony
+
+# Cloudflare (store)
+CLOUDFLARE_ACCOUNT_ID=
+CLOUDFLARE_API_KEY=
+
+# Cerebras
+CEREBRAS_API_KEY=
+
+CHROMADB_HOST=http://127.0.0.1
+CHROMADB_PORT=8001
+
+# For using Clickhouse (store)
+CLICKHOUSE_HOST=http://symfony:[email protected]:8123
+CLICKHOUSE_DATABASE=symfony
+CLICKHOUSE_TABLE=symfony
+
+# Weaviate (store)
+WEAVIATE_HOST=http://127.0.0.1:8080
+WEAVIATE_API_KEY=symfony
+
+# 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 +45,30 @@ 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";
 
 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";
-}

src/ai-bundle/config/options.php

@@ -493,7 +493,7 @@
                             ->children()
                                 ->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/doc/index.rst

@@ -148,7 +148,7 @@ Configuration
 HTTP Client Configuration
 -------------------------
 
-Each platform can be configured with a custom HTTP client service to handle API requests. 
+Each platform can be configured with a custom HTTP client service to handle API requests.
 This allows you to customize timeouts, proxy settings, SSL configurations, and other HTTP-specific options.
 
 By default, all platforms use the standard Symfony HTTP client service (``http_client``):
@@ -237,7 +237,7 @@ The system prompt text will be automatically translated using the configured tra
 Memory Provider Configuration
 -----------------------------
 
-Memory providers allow agents to access and utilize conversation history and context from previous interactions. 
+Memory providers allow agents to access and utilize conversation history and context from previous interactions.
 This enables agents to maintain context across conversations and provide more personalized responses.
 
 **Static Memory (Simple)**
@@ -292,7 +292,7 @@ Memory can work independently or alongside the system prompt:
                 model:
                     class: 'Symfony\AI\Platform\Bridge\OpenAi\Gpt'
                 memory: 'You are a helpful assistant with conversation history'
-            
+
             # Agent with both memory and prompt (memory prepended to prompt)
             memory_and_prompt_agent:
                 model:

src/store/CHANGELOG.md

@@ -45,6 +45,7 @@ CHANGELOG
    - Pinecone
    - PostgreSQL with pgvector extension
    - Qdrant
+   - Supabase
    - SurrealDB
    - Typesense
    - Weaviate

src/store/composer.json

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