My AI Agent Found the Right Page for the Wrong Reason
📰 Medium · AI
Learn how an AI agent using semantic search found the right page for the wrong reason, highlighting the limitations of current search technologies.
Action Steps
- Build a search tool using embeddings to test its capabilities
- Compare the results of embedding-based search with old-school keyword matching
- Test the search tools with various queries, including invoice numbers and semantic searches
- Evaluate the results to identify the strengths and weaknesses of each approach
- Refine the search tools based on the findings to improve their accuracy and reliability
Who Needs to Know This
Developers and researchers working on AI agents and search technologies can benefit from understanding the limitations of semantic search and keyword matching approaches.
Key Insight
💡 Semantic search can be powerful, but it's not foolproof and can fail in certain scenarios, such as searching for specific numbers or codes.
Share This
🤖 AI agent finds right page for wrong reason! 📊 Semantic search vs keyword matching: which one wins? 🤔
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