Here are the 18 most common questions and detailed answers to help you quickly solve problems during use.
Configure AI in Settings → AI Settings → AI Summary Function Enable. After turning on the switch, configure the corresponding settings in model configuration. Currently supports the following four types:
Chat mode and podcast features support a 5-day trial period. Activation codes are free to obtain.
How to get them:
Important Notes:
After successful AI configuration, as long as AI summaries have data, they will be displayed in DayFlow or TagFlow views. There are currently two ways to trigger AI summary generation:
Suggestion: After successful AI configuration, you can manually add an item to Marked to verify and test if the configuration is OK.
Another situation: In general settings, if the query date range is set too short, historical AI summary data beyond this date range will not be displayed in the Flow tag view.
Chat mode and voice podcast are both based on AI and AI summary data. When you successfully configure AI and have successfully generated AI summaries, you will see the corresponding chat and podcast entries in the Flow view.
Solution: After successful AI configuration, you can manually add an item to Marked. After successful generation, these two entries will be visible.
Mark as read method: Double-click the left mouse button to mark as read. The core reading operation of the entire extension is double-clicking the left mouse button.
RSSFlow Feature: Double-click to mark as read, eliminate cards while playing wooden fish sound. This is one of RSSFlow's features.
Double-click to mark as read works in both title mode and full-text reading (immersive reading).
About read content: Marked-as-read content cannot be found again. Currently only unread articles are displayed. If an article is great, you can bookmark it. Bookmarked articles will always be there and won't be affected by RSS content retention duration and query date range restrictions.
Keyboard shortcuts only apply to full-text reading (immersive reading). Immersive reading is also a feature of RSSFlow.
Through the above shortcuts, you can complete full-text reading entirely through keyboard operations.
Only articles with more than 200 words will trigger summary generation. If articles are too short, like one-sentence news, there's no need to generate summaries.
Yes, you can customize them. In Settings → AI Settings → Prompt Settings, there's a "Tag Range" option, which corresponds to user-defined tags.
Setting method: If you can't find Tags below, manually input tags yourself, separating each tag with commas, like this:
RSSFlow currently supports 12 languages and can subscribe to RSS content from any country in any language, then respond in one of these 12 languages.
No language barriers: RSSFlow can analyze and process content from any country and return analysis results in the selected interface language. This way you can read and view content from many other countries.
If an article doesn't have clear viewpoints or conclusions, it's essentially a wishy-washy article that doesn't need detailed reading. Just looking at the Opinions can meet basic needs.
If the viewpoints are clear, you can click to view detailed content.
Yes, you can customize them, but it's not recommended.
Why customization is not recommended: The current prompts have been fine-tuned to adapt to low-level LLMs for stable output. To ensure results can be properly parsed, customization is not recommended. If you need customization, please contact the author.
Custom quick commands are not currently supported. If needed, you can directly input your commands in the chat window.
Flexible usage: Manual input is the most flexible mode. You can input your corresponding prompt and request processing.
Yes, RSSFlow is a browser extension that depends on the browser running. You just need to keep the browser open, and it will automatically get updates and process data in the background.
Understanding: You can think of this browser as a local service. As long as it's not closed, it's like having your own server running continuously, helping you process RSS data and generate AI summaries.
RSSFlow is actually an AI Agent, but this AI Agent is fully integrated into RSS reading scenarios with high integration, making it look more like a reader.
Vertical Domain AI Agent: It can be understood as a vertical domain AI Agent. Due to overly natural integration, it doesn't look like an AI Agent.
Differences from workflows:
Conclusion: Any workflow has no competitiveness compared to an AI Agent that's integrated with business in a vertical domain.
RSSFlow is based on RSS subscriptions. As long as your subscribed RSS sources have accumulated 1 year of data, you just need to:
Considerations:
The method is to streamline the context through data filtering functions, based on specified tags and keywords to complete data selection and filtering.
Advantages: This can significantly reduce context while improving analysis accuracy.
The effectiveness of quick commands depends on the data you want to analyze and the LLM:
Currently supported. In chat mode, there's an AI settings function that you can configure directly.
Flexible configuration: This way you can differentiate - use basic capability models for basic content AI summaries, and advanced models for high-level analysis.
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Tip: Some websites may limit RSS access frequency. Consider adjusting update intervals appropriately.
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Note: Ensure selected model supports your use case. GPT-3.5 or higher versions are recommended.
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Important reminder: RSSFlow data is stored locally and does not automatically sync to cloud.
Prevention measures:
If the above methods cannot solve your problem, please contact us for help through the following ways:
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