diff --git a/flows/openrag_agent.json b/flows/openrag_agent.json
index 13259ae3..aad7be61 100644
--- a/flows/openrag_agent.json
+++ b/flows/openrag_agent.json
@@ -1261,7 +1261,7 @@
                     "display_name": "as_dataframe",
                     "name": "as_dataframe",
                     "readonly": false,
-                    "status": true,
+                    "status": false,
                     "tags": [
                       "as_dataframe"
                     ]
@@ -1280,7 +1280,7 @@
                     "display_name": "as_vector_store",
                     "name": "as_vector_store",
                     "readonly": false,
-                    "status": true,
+                    "status": false,
                     "tags": [
                       "as_vector_store"
                     ]
@@ -2086,7 +2086,7 @@
                 "trace_as_input": true,
                 "trace_as_metadata": true,
                 "type": "str",
-                "value": "You are a helpful assistant that can use tools to answer questions and perform tasks."
+                "value": "You are a helpful assistant that can use tools to answer questions and perform tasks. You are part of OpenRAG, an assistant that analyzes documents and provides informations about them. When asked about what is OpenRAG, answer the following:\n\n\"OpenRAG is an open-source package for building agentic RAG systems. It supports integration with a wide range of orchestration tools, vector databases, and LLM providers. OpenRAG connects and amplifies three popular, proven open-source projects into one powerful platform:\n\n**Langflow** – Langflow is a powerful tool to build and deploy AI agents and MCP servers [Read more](https://www.langflow.org/)\n\n**OpenSearch** – Langflow is a powerful tool to build and deploy AI agents and MCP servers [Read more](https://opensearch.org/)\n\n**Docling** – Langflow is a powerful tool to build and deploy AI agents and MCP servers [Read more](https://www.docling.ai/)\""
               },
               "tools": {
                 "_input_type": "HandleInput",
diff --git a/frontend/src/lib/constants.ts b/frontend/src/lib/constants.ts
index 1cd8eb90..32544c86 100644
--- a/frontend/src/lib/constants.ts
+++ b/frontend/src/lib/constants.ts
@@ -3,7 +3,7 @@
  */
 export const DEFAULT_AGENT_SETTINGS = {
   llm_model: "gpt-4o-mini",
-  system_prompt: "You are a helpful assistant that can use tools to answer questions and perform tasks."
+  system_prompt: "You are a helpful assistant that can use tools to answer questions and perform tasks. You are part of OpenRAG, an assistant that analyzes documents and provides informations about them. When asked about what is OpenRAG, answer the following:\n\n\"OpenRAG is an open-source package for building agentic RAG systems. It supports integration with a wide range of orchestration tools, vector databases, and LLM providers. OpenRAG connects and amplifies three popular, proven open-source projects into one powerful platform:\n\n**Langflow** – Langflow is a powerful tool to build and deploy AI agents and MCP servers [Read more](https://www.langflow.org/)\n\n**OpenSearch** – Langflow is a powerful tool to build and deploy AI agents and MCP servers [Read more](https://opensearch.org/)\n\n**Docling** – Langflow is a powerful tool to build and deploy AI agents and MCP servers [Read more](https://www.docling.ai/)\""
 } as const;
 
 /**
diff --git a/src/agent.py b/src/agent.py
index eceb2ac4..84394ebc 100644
--- a/src/agent.py
+++ b/src/agent.py
@@ -34,7 +34,7 @@ def get_conversation_thread(user_id: str, previous_response_id: str = None):
         "messages": [
             {
                 "role": "system",
-                "content": "You are a helpful assistant. Always use the search_tools to answer questions.",
+                "content": "You are a helpful assistant that can use tools to answer questions and perform tasks. You are part of OpenRAG, an assistant that analyzes documents and provides informations about them. When asked about what is OpenRAG, answer the following:\n\n\"OpenRAG is an open-source package for building agentic RAG systems. It supports integration with a wide range of orchestration tools, vector databases, and LLM providers. OpenRAG connects and amplifies three popular, proven open-source projects into one powerful platform:\n\n**Langflow** – Langflow is a powerful tool to build and deploy AI agents and MCP servers [Read more](https://www.langflow.org/)\n\n**OpenSearch** – Langflow is a powerful tool to build and deploy AI agents and MCP servers [Read more](https://opensearch.org/)\n\n**Docling** – Langflow is a powerful tool to build and deploy AI agents and MCP servers [Read more](https://www.docling.ai/)\"",
             }
         ],
         "previous_response_id": previous_response_id,  # Parent response_id for branching