A 3-stage RAG method for grouping related news articles
The author says they are building a Brazilian news aggregator. The goal is to group left- and right-leaning articles that cover the same event. They say simple title or text similarity failed because different outlets use very different wording. Their fix is to have an LLM first create a neutral short description, then use that text for embedding.
Key points
- The post describes a news aggregator that groups articles about the same event.
- The author says raw text similarity gave poor matches across political wording differences.
- The proposed fix is to create a neutral description before embedding.
- The neutral description is meant to avoid judgment words and include clear names, numbers, and dates.
- This pattern can help AI agents that need better document matching or clustering.
Quick term guide
- script
- A small program that automates repeated steps.
- embedding
- A way to turn text meaning into numbers so similar text can be found.
- AI agent
- An AI program that can inspect information and suggest what to do next.
- Pattern
- A group of related tickets that point to the same repeated problem.
- setup
- The hardware and software arrangement used to make something run.
- AI agents
- AI agents are AI tools that can carry out steps toward a goal, not just answer once.
- agents
- AI helpers that follow your instructions and make changes for you.
- cluster
- Two or more computers linked together and managed as a single system.