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
The Transformation
- 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
- 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
Query Understanding
Parse user queries to understand intent, correct typos, and expand concepts.
Vector Embedding
Convert queries and documents into semantic vectors that capture meaning.
Similarity Search
Find semantically similar content using efficient vector indexes.
Hybrid Re-ranking
Combine semantic similarity with business rules, freshness, and personalization.
Query Understanding
Parse user queries to understand intent, correct typos, and expand concepts.
Vector Embedding
Convert queries and documents into semantic vectors that capture meaning.
Similarity Search
Find semantically similar content using efficient vector indexes.
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
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.