Augor

Using embeddings to find meaningful patterns in financial news

What is this?

Augor is a Flutter desktop application that aggregates financial news from multiple RSS sources and uses OpenRouter-hosted embeddings and LLM analysis to cluster related articles about the same business events and generate probabilistic market signals.

Current Features

RSS Feed Aggregation

• Supports RSS and Atom feeds
• Pre-configured with 20+ major business news sources (Reuters, Bloomberg, WSJ, etc)
• Add custom feeds through the settings interface
• Enable/disable feeds individually

AI-Powered Processing

• Generates embeddings using OpenRouter-hosted openai/text-embedding-3-small
• Filters articles for business relevance using keyword similarity
• Groups related articles about the same event using cosine similarity
• Exports results as JSON for further analisis

Settings Management

• Configure OpenRouter API key
• Manage RSS feed sources
• Set custom storage location for output files

Technical Stack

• Flutter - Cross-platform desktop app (macOS, Windows, Linux)
• shadcn_flutter - UI component library
• OpenRouter API - Embeddings and LLM inference
• Provider - State managment
• go_router - Navigation

Setup

1. Clone the repository
2. Install dependencies:

   flutter pub get
   

3. Add your OpenRouter API key in the app settings
4. Run the app:

   flutter run
   

How it works

1. Aggregate - Fetches articles from all enabled RSS feeds
2. Embed - Generates vector embeddings for article titles and descriptions
3. Filter - Removes articles not relevant to business/finance using keyword matching
4. Cluster - Groups similar articles (cosine similarity >= 0.7) to identify events
5. Export - Saves results to JSON files in your configured storage location

Output Files

The app generates several JSON files in your storage directory:

• aggregated_feed.json - All fetched articles
• enriched_aggregated_feed.json - Articles with embeddings
• relevant_aggregated_feed.json - Filtered relevant articles
• grouped_relevant_aggregated_feed.json - Articles clustered by event
• readable_*.json - Human-readable versions without embeddings

Author

Benjamin Watt Supervisor: Panagiotis Kanellopoulos University of Essex