Use Case

Search That Understands What Users Mean

Beyond keywords. True understanding.

Traditional search fails when users don't know the right words. Semantic search understands intent—finding relevant results even when queries don't match exact keywords. We build search systems that surface what users actually need, dramatically improving discovery and conversion.

Trusted by innovative teams

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Last9 logo
Aster logo
ESPN logo
KredX logo
Pine Labs logo
Setu logo
Tenmeya logo
Timely logo
Treebo logo
Turtlemint logo
Workshop Ventures logo
Last9 logo

The Transformation

Before Procedure
  • Users abandon search after finding nothing relevant
  • Exact keyword matching misses obvious connections
  • Zero-result searches frustrate users and lose revenue
  • Search relevance requires constant manual tuning
After Procedure
  • Users find relevant results on first query
  • Semantic understanding connects concepts
  • Near-zero empty result pages
  • Self-improving relevance with minimal maintenance

How It Works

Our semantic search pipeline transforms queries into meaningful results

1

Query Understanding

Parse user queries to understand intent, correct typos, and expand concepts.

2

Vector Embedding

Convert queries and documents into semantic vectors that capture meaning.

3

Similarity Search

Find semantically similar content using efficient vector indexes.

4

Hybrid Re-ranking

Combine semantic similarity with business rules, freshness, and personalization.

Key Features

Everything you need for world-class search

Semantic Understanding

Search that grasps concepts, not just keywords. "budget laptop" finds "affordable notebook computers" without manual synonyms.

Hybrid Search Architecture

Combine vector similarity with traditional keyword matching. Get the precision of keywords with the recall of semantic search.

Real-Time Indexing

New content searchable in seconds, not hours. Keep search results fresh without batch processing delays.

Query Enhancement

Autocomplete, spell correction, and query suggestions powered by AI. Help users find what they need faster.

Personalized Results

Incorporate user history and preferences into ranking. Surface relevant results unique to each user.

Analytics & Optimization

Understand what users search for, what they find, and where they struggle. Data to continuously improve search quality.

Proven Results

Real outcomes from our implementations

34%
Higher Conversion
vs. keyword search baseline
2.3x
Search-to-Purchase
industry avg: 1.2x
<100ms
Query Latency
p99 performance
89%
User Satisfaction
with search experience

Why Procedure for AI Search?

We bring senior engineering expertise and production-tested patterns to every engagement. No junior developers learning on your project.

Vector database expertise: We've built on Pinecone, Weaviate, Chroma, and pgvector

Production scale: Search systems handling millions of queries daily

Full-stack delivery: From infrastructure to search UI components

Measurable impact: We track metrics that matter to your business

Frequently Asked Questions

Elasticsearch (and similar) match keywords. Semantic search matches meaning—understanding that "running shoes" and "jogging sneakers" are the same concept. We often combine both: keyword precision with semantic understanding.

Build Search That Converts

Talk to our search engineers. We'll show you how semantic search can improve discovery and drive business results.