Skip to content

[AI Bundle] Update documentation for indexer #726

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Oct 5, 2025
Merged

[AI Bundle] Update documentation for indexer #726

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
21 changes: 13 additions & 8 deletions src/ai-bundle/doc/index.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -127,17 +127,19 @@ Advanced Example with multiple agents
model: 'mistral-embed'
indexer:
default:
loader: 'Symfony\AI\Store\Document\Loader\InMemoryLoader'
vectorizer: 'ai.vectorizer.openai_embeddings'
store: 'ai.store.chroma_db.default'

research:
loader: 'Symfony\AI\Store\Document\Loader\TextFileLoader'
vectorizer: 'ai.vectorizer.mistral_embeddings'
store: 'ai.store.memory.research'

Store Dependency Injection
--------------------------

When using multiple stores in your application, the AI Bundle provides flexible dependency injection through store aliases.
When using multiple stores in your application, the AI Bundle provides flexible dependency injection through store aliases.
This allows you to inject specific stores into your services without conflicts, even when stores share the same name across different types.

For each configured store, the bundle automatically creates two types of aliases:
Expand Down Expand Up @@ -174,13 +176,13 @@ You can inject stores into your services using the generated aliases::
{
public function __construct(
private StoreInterface $main, // Uses memory store (first occurrence)
private StoreInterface $chromaDbMain, // Explicitly uses chroma_db store
private StoreInterface $chromaDbMain, // Explicitly uses chroma_db store
private StoreInterface $memoryProducts, // Explicitly uses memory products store
) {
}
}

When multiple stores share the same name (like ``main`` in the example), the simple alias (``$main``) will reference the first occurrence.
When multiple stores share the same name (like ``main`` in the example), the simple alias (``$main``) will reference the first occurrence.
Use type-prefixed aliases (``$memoryMain``, ``$chromaDbMain``) for explicit disambiguation.

Model Configuration
Expand Down Expand Up @@ -225,7 +227,7 @@ You can also define models for the vectorizer this way:
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``):
Expand Down Expand Up @@ -522,12 +524,12 @@ Configuration
support:
# The main orchestrator agent that analyzes requests
orchestrator: 'orchestrator'

# Handoff rules mapping agents to trigger keywords
# At least 1 handoff required
handoffs:
technical: ['bug', 'problem', 'technical', 'error', 'code', 'debug']

# Fallback agent for unmatched requests (required)
fallback: 'general'

Expand All @@ -552,12 +554,12 @@ For the example above, the service ``ai.multi_agent.support`` is registered and
private AgentInterface $supportAgent,
) {
}

public function askSupport(string $question): string
{
$messages = new MessageBag(Message::ofUser($question));
$response = $this->supportAgent->call($messages);

return $response->getContent();
}
}
Expand Down Expand Up @@ -851,14 +853,17 @@ Once configured, vectorizers can be referenced by name in indexer configurations
ai:
indexer:
documents:
loader: 'Symfony\AI\Store\Document\Loader\TextFileLoader'
vectorizer: 'ai.vectorizer.openai_small'
store: 'ai.store.chroma_db.documents'

research:
loader: 'Symfony\AI\Store\Document\Loader\TextFileLoader'
vectorizer: 'ai.vectorizer.openai_large'
store: 'ai.store.chroma_db.research'

knowledge_base:
loader: 'Symfony\AI\Store\Document\Loader\InMemoryLoader'
vectorizer: 'ai.vectorizer.mistral_embed'
store: 'ai.store.memory.kb'

Expand Down