Understanding Semantic Search in Zendesk Guide
What is semantic search in Zendesk Guide?
Semantic search in Zendesk Guide uses AI to understand the intent behind search queries. Unlike traditional keyword searches, semantic search captures the meaning of queries, allowing users to find relevant content without knowing the exact keywords.
This advanced search method employs machine learning and natural language processing to interpret the user's intent, providing more accurate search results. For example, users can ask questions in natural language, like "how do I start using Guide?", and still receive the most relevant articles at the top of the results.Learn more.
More related questions
How does semantic search work in Zendesk Guide?
Semantic search in Zendesk Guide uses natural language processing to understand the meaning of search queries. It translates queries and content into vectors, measuring their similarity to provide relevant results. This method identifies complex…
How does semantic search improve the search experience in Zendesk Guide?
Semantic search enhances the search experience by allowing users to search using natural language. This results in more intuitive searches and improved search quality metrics like mean reciprocal rank (MRR) and click-through rate (CTR). With…
Is semantic search available for all Zendesk Guide users?
Semantic search is being rolled out to all English language help centers using the Copenhagen theme by early Q3. Additional languages, federated search, and APIs will follow. Currently, there is no quick way to check if your account has been…
Can I train the AI for semantic search in Zendesk Guide?
Currently, there is no option for users to train the AI for semantic search in Zendesk Guide. The implementation is automatic and requires no additional work from users. If searches do not return expected results, Zendesk encourages users to submit…
What improvements does semantic search bring to Zendesk Guide?
Semantic search improves Zendesk Guide by making it easier for users to find relevant information. It boosts search relevance and ranks the most pertinent results higher, enhancing the overall search experience. This improvement is reflected in…
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