feature #389 [Examples][ClickHouse] Add RAG example (Guikingone)

This PR was merged into the main branch.

Discussion
----------

[Examples][ClickHouse] Add RAG example

| Q             | A
| ------------- | ---
| Bug fix?      | no
| New feature?  | no
| Docs?         | yes
| Issues        | Fix none
| License       | MIT

Hi 👋🏻

Here's the rag example for `Clickhouse` as discussed in #335

Commits
-------

cdbfde7 ref(examples): example added for Clickhouse

Author: OskarStark

examples/.env

@@ -123,3 +123,8 @@ 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

examples/rag/clickhouse.php

@@ -0,0 +1,71 @@
+<?php
+
+/*
+ * This file is part of the Symfony package.
+ *
+ * (c) Fabien Potencier <[email protected]>
+ *
+ * For the full copyright and license information, please view the LICENSE
+ * file that was distributed with this source code.
+ */
+
+use Symfony\AI\Agent\Agent;
+use Symfony\AI\Agent\Toolbox\AgentProcessor;
+use Symfony\AI\Agent\Toolbox\Tool\SimilaritySearch;
+use Symfony\AI\Agent\Toolbox\Toolbox;
+use Symfony\AI\Fixtures\Movies;
+use Symfony\AI\Platform\Bridge\OpenAi\Embeddings;
+use Symfony\AI\Platform\Bridge\OpenAi\Gpt;
+use Symfony\AI\Platform\Bridge\OpenAi\PlatformFactory;
+use Symfony\AI\Platform\Message\Message;
+use Symfony\AI\Platform\Message\MessageBag;
+use Symfony\AI\Store\Bridge\ClickHouse\Store;
+use Symfony\AI\Store\Document\Metadata;
+use Symfony\AI\Store\Document\TextDocument;
+use Symfony\AI\Store\Document\Vectorizer;
+use Symfony\AI\Store\Indexer;
+use Symfony\Component\HttpClient\HttpClient;
+use Symfony\Component\Uid\Uuid;
+
+require_once dirname(__DIR__).'/bootstrap.php';
+
+// initialize the store
+$store = new Store(
+    HttpClient::createForBaseUri(env('CLICKHOUSE_HOST')),
+    env('CLICKHOUSE_DATABASE'),
+    env('CLICKHOUSE_TABLE'),
+);
+
+// initialize the index
+$store->setup();
+
+// create embeddings and documents
+$documents = [];
+foreach (Movies::all() as $i => $movie) {
+    $documents[] = new TextDocument(
+        id: Uuid::v4(),
+        content: 'Title: '.$movie['title'].\PHP_EOL.'Director: '.$movie['director'].\PHP_EOL.'Description: '.$movie['description'],
+        metadata: new Metadata($movie),
+    );
+}
+
+// create embeddings for documents
+$platform = PlatformFactory::create(env('OPENAI_API_KEY'), http_client());
+$vectorizer = new Vectorizer($platform, $embeddings = new Embeddings());
+$indexer = new Indexer($vectorizer, $store, logger());
+$indexer->index($documents);
+
+$model = new Gpt(Gpt::GPT_4O_MINI);
+
+$similaritySearch = new SimilaritySearch($platform, $embeddings, $store);
+$toolbox = new Toolbox([$similaritySearch], logger: logger());
+$processor = new AgentProcessor($toolbox);
+$agent = new Agent($platform, $model, [$processor], [$processor], logger());
+
+$messages = new MessageBag(
+    Message::forSystem('Please answer all user questions only using SimilaritySearch function.'),
+    Message::ofUser('Which movie fits the theme of technology?')
+);
+$result = $agent->call($messages);
+
+echo $result->getContent().\PHP_EOL;