Documentation
Knowledge Base Search
Semantic search across 10,000+ documentation articles with instant relevance.
AI-powered search that goes beyond keywords — understanding context, meaning, and user intent to deliver results people actually need.
Users don't always know the right keywords — but they know what they're looking for.
Users search for "affordable laptop for students" but get results for "expensive gaming PCs".
Best results buried on page 3, while irrelevant content appears first.
Can't understand synonyms, context, or natural language queries.
Search doesn't improve based on what users actually click and find valuable.
We build search experiences that understand what users mean, not just what they type.
Semantic search powered by vector databases and AI models.
Understands meaning, context, and natural language — not just keywords.
Using Pinecone, Weaviate, or Elasticsearch for intelligent matching.
Lightning-fast responses with instant relevance ranking.
Improves over time based on user behavior and feedback.
From documentation search to product discovery.
Semantic search across 10,000+ documentation articles with instant relevance.
Natural language product search with visual similarity matching.
Company-wide search across documents, emails, and databases.
Complete AI search implementation with ongoing optimization.
Understanding your content and user search patterns
Pinecone, Weaviate, or Elasticsearch configuration
Beautiful, intuitive search interfaces
Embedding generation and similarity matching
Continuous tuning for better results
Understanding what users search for and can't find
Let's build search that understands intent and delivers results that matter.