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Changed prompts to include info about OpenRAG, change status of As Dataframe and As Vector Store to false on OpenSearch component

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This commit is contained in:
Lucas Oliveira 2025-10-17 16:43:38 -03:00
parent a2fb385a1f
commit b5c0788ab9
3 changed files with 5 additions and 5 deletions
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6
flows/openrag_agent.json
View file

@ -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",

2
frontend/src/lib/constants.ts
View file

@ -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;
/**

2
src/agent.py
View file

@ -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