An idea for using RAG to match people or listings
This post points to an idea: use RAG and semantic routing to build a P2P social network or marketplace. The item does not include concrete numbers or a working example, so it is more of an idea to watch than a must-act update.
The basic idea is to understand what a person means, then route them to the right person, listing, or conversation. This could help when exact keywords do not match, but the meaning is close.
For AI agents, the useful angle is routing. Instead of sending every request to one large model path, an agent could first sort the request by meaning and choose the right data or next step. But this item gives no proof of cost savings, speed gains, or production use, so its practical value is still unclear.
Key points
- The post is about using RAG for a P2P social network or marketplace.
- semantic routing means sending a request based on meaning, not just keywords.
- This could be useful for AI agents that need to choose the right data or action.
- The item does not provide cost numbers, benchmarks, or implementation details.
Quick term guide
- semantic routing
- A way to send a request to the right place based on its meaning.
- listing
- A property that is officially available for sale on the market.
- AI agents
- AI agents are AI tools that can carry out steps toward a goal, not just answer once.
- AI agent
- An AI program that can inspect information and suggest what to do next.
- agents
- AI helpers that follow your instructions and make changes for you.
- production
- The live version of a service that real users use.
- benchmarks
- Benchmarks are standard tests used to compare performance.
- benchmark
- A test used to compare speed, quality, or cost.