Semantic Search
What Is Semantic Search?
Semantic search is an advanced search technology that interprets the meaning behind words and phrases in a query, rather than relying solely on exact keyword matches. By analyzing context, synonyms, and relationships between terms, semantic search delivers results that align closely with user intent.
Analyze Your Use Case
NYRIS leverages semantic search to enhance its AI-powered visual search engine, enabling instant identification of spare parts, products, or documents based on contextual understanding.
How Does Semantic Search Work?
- Natural Language Processing (NLP): Semantic search uses NLP to analyze the structure and meaning of a query, identifying key concepts and relationships between terms.
- Knowledge Graphs: It employs knowledge graphs to map connections between entities (e.g., products, categories) for more accurate results. NYRIS uses domain-specific knowledge graphs tailored to industries like manufacturing or retail.
- Contextual Matching: The system compares the query's intent with indexed data, prioritizing relevance over exact matches. For example, NYRIS’s semantic search can identify a spare part even if the query includes only partial information or synonyms.
Use Cases
Manufacturing
- Spare Parts Identification: NYRIS’s semantic search enables technicians to locate replacement parts using incomplete or vague descriptions, reducing machine downtime by 65%.
E-commerce
- Personalized Product Discovery: Retailers like IKEA use semantic search to recommend products based on customer preferences and browsing history, increasing conversion rates by 35%.
Retail Inventory Management
- Searchable Databases: Semantic search allows store managers to quickly find inventory details using natural language queries instead of rigid keywords.
Benefits For Your Company
- Improved Accuracy: Deliver highly relevant results by understanding user intent and context, achieving 99.7% precision in product identification tasks.
- Enhanced User Experience: Simplify searches for customers or employees by allowing natural language queries instead of complex keyword inputs.
- Reduced Downtime: In manufacturing environments, semantic search minimizes delays by quickly locating necessary components or documents.
FAQs
Can semantic search handle multilingual queries?
Yes! NYRIS’s semantic search supports multiple languages, enabling global companies like Renault to streamline operations across different regions.
What industries benefit most from semantic search?
Industries like manufacturing, retail, and e-commerce gain significant advantages by improving product discovery, inventory management, and spare parts identification.
How does semantic search differ from traditional keyword-based search?
Semantic search focuses on understanding the meaning behind words and their relationships within a query, while keyword-based searches rely solely on exact term matches.
About NYRIS
Founded in 2015 in Berlin, NYRIS is a leader in AI-driven visual and semantic search solutions for industries such as manufacturing, retail, automotive, and e-commerce. With €10 million in funding from investors like Trumpf Venture and IKEA, NYRIS processes over 500 million products in under one second using cutting-edge technologies like knowledge graphs and synthetic data generation.