Imagine being able to find exactly what you need just by describing it naturally—like saying, “I want a lakefront cabin with a cozy feel and modern amenities” and instantly seeing the perfect matches. GenAI-powered search makes this possible by transforming the way search engines interpret and match results, allowing users to find what they’re looking for without complicated filters or exact keywords.
Potential Workflow Summary
- Build Rich Descriptions: Each item—whether a product, property, or job listing—is given a descriptive, natural-language summary. This helps capture the unique features of each listing in a way that’s easier to match with user preferences.
- Create and Store Embeddings: These descriptions are converted into “embeddings,” which are numerical representations capturing the meaning of each description. Stored in a vector database, embeddings allow for fast and accurate similarity searches.
- Generate User Search Embeddings: When users type in a search like “lakefront cabin with a cozy feel,” the system creates an embedding of that query to capture its meaning.
- Match and Filter Results: The system uses the embedding to find similar items in the vector database. Additional filters like price or location can then be applied, ensuring that users see only the most relevant results.
This GenAI-powered approach transforms search into a smarter, more intuitive process, saving time and enhancing the experience across industries—from real estate to e-commerce and beyond.
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