Go beyond keywords - find information based on meaning, context, and intent
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Transform how you find information with AI that understands meaning, not just keywords.
Upload documents, connect databases, or index websites. Semantic search works with any data format including PDFs, Word, Excel, and more.
Advanced AI models transform your content into vector embeddings that capture meaning, relationships, and context.
Users search in natural language. The AI understands intent and finds conceptually similar content, even with different wording.
Receive precisely ranked results based on semantic similarity. Find what you need on the first try with 80-90% better relevance.
Go beyond keyword matching with search technology that truly understands meaning, context, and relationships.
Find content based on concepts and intent, not just keywords. Search 'revenue growth' and find documents about 'increasing sales' and 'profit improvement'.
State-of-the-art AI models create embeddings that capture semantic relationships, enabling true understanding of your content.
Ask questions in plain language. No need for special syntax or operators - just type what you're looking for naturally.
Automatically recognizes synonyms, related terms, and conceptual equivalents across your entire knowledge base.
Search in one language and find results in any other. True multilingual understanding preserves meaning across translations.
Works with PDFs, Word docs, Excel, databases, websites, emails, code repositories, and any text-based content.
Get instant results even across millions of documents. Optimized vector search delivers blazing-fast performance.
Data encryption, access controls, and permission-aware search. Users only see results they're authorized to access.
Track search quality, popular queries, and user satisfaction. Continuously improve with built-in analytics.
Transform information retrieval across your organization with AI that understands what you're really looking for.
Search company wikis, documentation, and knowledge bases by meaning. Employees find answers instantly without knowing exact terminology.
Support agents find relevant articles, past tickets, and solutions using natural language queries, reducing resolution time by 70%.
Search contracts, regulations, and legal documents by concept. Find relevant clauses and precedents without exact keyword matches.
Researchers find related papers, patents, and data across massive document collections using semantic understanding.
Customers find products using natural descriptions. 'Comfortable shoes for long walks' finds hiking boots and walking sneakers.
Match candidates to roles using semantic understanding of skills and experience, not just keyword matching on resumes.
Everything you need to know about semantic search and how it transforms information retrieval.
Build intelligent automation that connects to your database and delivers precise answers through advanced workflows.
