diff --git a/docs/components/agent.rst b/docs/components/agent.rst index d04d2e491..7b666f05d 100644 --- a/docs/components/agent.rst +++ b/docs/components/agent.rst @@ -236,7 +236,7 @@ tools in the same chain - which even enables you to overwrite the pre-existing c $reflectionFactory = new ReflectionToolFactory(); // Register tools with #[AsTool] attribute $metadataFactory = (new MemoryToolFactory()) // Register or overwrite tools explicitly ->addTool(...); - $toolbox = new Toolbox(new AgentFactory($metadataFactory, $reflectionFactory), [...]); + $toolbox = new Toolbox(new ChainFactory($metadataFactory, $reflectionFactory), [...]); .. note:: @@ -362,7 +362,7 @@ messages will be added to your MessageBag:: // Platform & LLM instantiation $messages = new MessageBag( Message::forSystem(<<invoke($model, $messages); -## Using Multiple Server Tools +Using Multiple Server Tools +--------------------------- You can enable multiple server tools simultaneously:: diff --git a/docs/components/platform/vertexai-server-tools.rst b/docs/components/platform/vertexai-server-tools.rst index 96205e176..9ee6c9b2b 100644 --- a/docs/components/platform/vertexai-server-tools.rst +++ b/docs/components/platform/vertexai-server-tools.rst @@ -42,12 +42,8 @@ Grounding with Google Search The Grounding tool allows the model to connect its responses to verifiable sources of information, enhancing the reliability of its outputs. More at https://cloud.google.com/vertex-ai/generative-ai/docs/grounding/overview -Below is an example of grounding a model's responses using Google Search, which uses publicly-available web data. - -* Grounding with Google Search * Ground a model's responses using Google Search, which uses publicly-available web data. -More info can be found at https://cloud.google.com/vertex-ai/generative-ai/docs/grounding/overview :: diff --git a/docs/components/store.rst b/docs/components/store.rst index f4a5f20cd..f43f27402 100644 --- a/docs/components/store.rst +++ b/docs/components/store.rst @@ -133,8 +133,8 @@ This leads to a store implementing two methods:: .. _`Similarity Search with MariaDB (RAG)`: https://github.com/symfony/ai/blob/main/examples/rag/mariadb-gemini.php .. _`Similarity Search with Meilisearch (RAG)`: https://github.com/symfony/ai/blob/main/examples/rag/meilisearch.php .. _`Similarity Search with memory storage (RAG)`: https://github.com/symfony/ai/blob/main/examples/rag/in-memory.php -.. _`Similarity Search with Milvus (RAG)`: https://github.com/symfony/ai/blob/main/examples/rag/meilisearch.php -.. _`Similarity Search with MongoDB (RAG)`: https://github.com/symfony/ai/blob/main/examples/rag/milvus.php +.. _`Similarity Search with Milvus (RAG)`: https://github.com/symfony/ai/blob/main/examples/rag/milvus.php +.. _`Similarity Search with MongoDB (RAG)`: https://github.com/symfony/ai/blob/main/examples/rag/mongodb.php .. _`Similarity Search with Neo4j (RAG)`: https://github.com/symfony/ai/blob/main/examples/rag/neo4j.php .. _`Similarity Search with Pinecone (RAG)`: https://github.com/symfony/ai/blob/main/examples/rag/pinecone.php .. _`Similarity Search with Symfony Cache (RAG)`: https://github.com/symfony/ai/blob/main/examples/rag/cache.php