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docs: fix typo (#1292)
Co-authored-by: Jiri Spilka <[email protected]>
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sources/platform/actors/publishing/index.mdx

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@@ -45,7 +45,7 @@ To learn more visit our [Actors in Store](https://docs.apify.com/platform/actor
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## Maintain public Actors
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While private Actors don't necessarily require ongoing maintenance, public Actors demand a higher level of resonsibility. Since public Actors are available on the [Apify Store](https://apify.com/store) and may be used by other users, an unmaintained public Actor could negatively impact those who depend on it.
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While private Actors don't necessarily require ongoing maintenance, public Actors demand a higher level of responsibility. Since public Actors are available on the [Apify Store](https://apify.com/store) and may be used by other users, an unmaintained public Actor could negatively impact those who depend on it.
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To ensure long-term quality and improve your chances of successfully monetizing your Actors, we recommend reserving approximately 2 hours per week for maintenance tasks, such as:
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sources/platform/integrations/ai/openai_assistants.md

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@@ -15,7 +15,7 @@ The OpenAI Assistants can access OpenAI knowledge base ([vector store](https://p
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Unlike Custom GPT, OpenAI Assistants are available via API, enabling integration with Apify to automatically update assistant data and deliver real-time information, improving the quality of answers.
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In this tutorial, we’ll start by demonstrating how to create an assistant and integrate real-time data using function calling with the [RAG-Web-Browser](https://apify.com/apify/rag-web-browser).
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In this tutorial, we’ll start by demonstrating how to create an assistant and integrate real-time data using function calling with the [RAG Web Browser](https://apify.com/apify/rag-web-browser).
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Next, we’ll show how to save data from Apify Actors into the OpenAI Vector Store for easy retrieval through [file-search](https://platform.openai.com/docs/assistants/tools/file-search).
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## Real-time search data for OpenAI Assistant
@@ -224,7 +224,7 @@ def submit_tool_outputs(run_):
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d = json.loads(tool.function.arguments)
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output = call_rag_web_browser(query=d["query"], max_results=d["maxResults"])
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tool_output.append(ToolOutput(tool_call_id=tool.id, output=json.dumps(output)))
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print("RAG-Web-Browser added as a tool output.")
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print("RAG Web Browser added as a tool output.")
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return client.beta.threads.runs.submit_tool_outputs_and_poll(thread_id=run_.thread_id, run_id=run_.id, tool_outputs=tool_output)
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@@ -417,5 +417,5 @@ for m in client.beta.threads.messages.list(thread_id=run.thread_id):
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- [OpenAI Assistants](https://platform.openai.com/docs/assistants/overview)
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- [OpenAI function calling](https://platform.openai.com/docs/assistants/tools/function-calling)
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- [RAG Web Browser](https://apify.com/apify/-browser) Actor
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- [RAG Web Browser](https://apify.com/apify/rag-web-browser) Actor
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- [OpenAI Vector Store Integration](https://apify.com/jiri.spilka/openai-vector-store-integration) Actor

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