Product

Search that understands

When a customer types “quick dinner tonight,” your store should show pasta sauces and stir-fry kits, not return zero results.

Beyond Keyword Matching

Traditional search fails when customers use natural language, synonyms, or describe what they need rather than exact product names. Our semantic search understands meaning, not just words.

"something for a headache" doesn't find ibuprofen or aspirin
"quick dinner tonight" returns zero results because no product matches exactly
"healthy snack for kids" shows unrelated candy bars
quick dinner tonight
Traditional: 0 results
quick dinner tonight
Semantic: 36 relevant results

How Semantic Search Works

Query expansion via LLM, 4096-dim vector embeddings + BM25 keyword search, a reranking model for precision, and customer popularity scoring. All in milliseconds.

LLM Query Expansion

Before searching, the LLM generates synonyms, related terms, and intent variations, so 'headache remedy' also finds ibuprofen, aspirin, and cold compresses.

Hybrid Vector + BM25

4096-dim MRL embeddings capture meaning; BM25 keyword scoring catches exact matches. A configurable balance lets you tune the mix per catalog.

Reranking Model

After initial retrieval, a dedicated reranker re-scores results for final precision, pushing the most relevant products to the top.

Popularity Scoring

Click and purchase signals feed back into rankings. Products customers actually buy get surfaced higher over time.

Product Essences

Each product gets an LLM-generated description covering functional, emotional, and experiential value, so the search understands outcomes, not just attributes.

Standalone Deployment

Use semantic search without the full assistant. Drop it into your existing search bar via API, boost specific brands, and tune weights in the dashboard.

Search That Actually Works

Real queries, real results. Each example shows what customers type and what the search returns. No keyword matching required.

Customer Query

"something for a quick weeknight dinner"

Semantic Results
  • Ready-made pasta sauces
  • Fresh tortellini
  • Pre-cut stir-fry vegetables
  • Garlic bread
Customer Query

"healthy snacks for my kids' lunchbox"

Semantic Results
  • Apple slices with peanut butter cups
  • Yogurt tubes
  • Whole grain crackers
  • Dried fruit mix
Customer Query

"I'm hosting a BBQ this weekend"

Semantic Results
  • Beef burger patties 8-pack
  • Charcoal briquettes
  • Brioche buns
  • Coleslaw kit
Customer Query

"cozy morning drink that isn't coffee"

Semantic Results
  • Hot chocolate mix
  • Chai tea concentrate
  • Golden turmeric latte
  • Matcha powder

Replace keyword search in minutes

Upload your product catalog and see semantic search results on your own data. No engineering required for the proof of concept.

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IsarTech | Conversational AI That Sells