AI Summarizer
Redline includes a dedicated AI summarizer that automatically generates summaries for various content types. The summarizer uses a separate, typically faster and cheaper model than the main chat assistant.
What Gets Summarized
| Content Type | When Summarized | What's Generated |
|---|---|---|
| News Articles | On demand (click "Summarize") | Summary, key points, sentiment, topics |
| Notes | On demand | Condensed summary of note content |
| Narratives | On demand or when updated | Executive summary, key themes, key actors |
| RSS Articles | During relevance filtering | Used to determine if article matches your criteria |
News Article Summaries
When you create a Newsfeed node from a URL, Redline scrapes the article content. You can then generate an AI summary:
- Select the Newsfeed node
- Click Summarize in the Context Panel
- The AI generates:
- Summary - 2-3 sentence overview
- Key Points - 3-5 bullet points
- Sentiment - Overall tone (positive, negative, neutral)
- Topics - Main themes covered
Note Summaries
Long notes can be summarized to extract key information:
- Select a Note node with substantial content
- Click Summarize in the Context Panel
- The AI generates a condensed summary
This is useful for:
- Summarizing meeting notes
- Condensing research findings
- Creating quick reference summaries
Narrative Summaries
Narratives can have AI-generated executive summaries that synthesize all member nodes:
- Select a Narrative node
- Click Generate Summary in the Context Panel
- The AI analyzes all member nodes and creates:
- Executive Summary - Overview of the storyline
- Key Themes - Main topics across all nodes
- Key Actors - Important people/organizations involved
The narrative summary is automatically updated when you regenerate it, reflecting any new nodes added to the narrative.
Summarizer Model
The summarizer uses a dedicated model configured separately from your chat model. This allows you to use a faster, cheaper model for routine summarization while keeping a more capable model for complex research.
Default Models by Provider
| Provider | Default Summarizer Model |
|---|---|
| Redline AI | Claude 3.5 Haiku |
| Claude | Claude 3.5 Haiku |
| OpenAI | GPT-4o Mini |
| OpenRouter | Claude 3.5 Haiku |
| Ollama | Llama 3.2 |
Changing the Summarizer Model
- Go to Settings > AI Provider
- Find the Summarizer Model dropdown
- Select your preferred model
- Click Save
Using a faster model like Claude 3.5 Haiku or GPT-4o Mini for summarization can significantly reduce costs while maintaining quality for straightforward summarization tasks.
RSS Relevance Filtering
The summarizer powers RSS feed relevance filtering, helping you automatically filter incoming articles:
How It Works
- When new articles arrive from an RSS feed
- The summarizer evaluates each article against your relevance prompt
- A relevance score (0-100) is calculated
- Only articles meeting your threshold are imported as nodes
Configuring Relevance Filtering
When creating or editing an RSS Feed node:
- Set a Relevance Prompt describing what you're looking for
- Set a Relevance Threshold (0-100)
- Articles scoring above the threshold are imported
Example Relevance Prompt:
Articles about Tesla stock price movements, Elon Musk business decisions, or electric vehicle market trends in North America
Example Threshold: 70 (imports articles scoring 70% or higher relevance)
Tips for Effective Filtering
- Be specific - Vague prompts like "interesting news" produce inconsistent results
- Include keywords - Mention specific terms, names, or topics
- Set appropriate thresholds - Start at 50-60 and adjust based on results
- Review periodically - Check what's being filtered out to tune your prompt
Token Usage
Summarization uses tokens from your AI budget:
- Input tokens - The content being summarized
- Output tokens - The generated summary
Summarization typically uses fewer tokens than chat interactions since:
- Responses are shorter and structured
- No conversation history is included
- Faster models have lower per-token costs
Troubleshooting
Summary Not Generating
- Ensure you have an AI provider configured
- Check that the node has content to summarize
- For newsfeeds, wait for article scraping to complete first
Poor Quality Summaries
- Try a more capable summarizer model
- Ensure the source content is clear and complete
- For RSS filtering, refine your relevance prompt
RSS Articles Not Being Imported
- Lower your relevance threshold
- Make your relevance prompt more inclusive
- Check that the RSS feed is being polled (check feed status)