---
schema_version: "1"
id: ce7b1b584fbc985676f3a8e3077843c5e62d235df3f9bf43b94d9c8d9b32b37a
title: Knowledge Similarity
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/service/264-0-0/knowledge_similarity_about.md
canonical_url: https://help.salesforce.com/s/articleView?id=service.knowledge_similarity_about.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: f0a2553d4f096596db2a81bcad783a7e0e1aa5e363a3470927874aa7b0f8941b
description: When your authors write, review, or draft a knowledge article—manually or with AI—they can check for existing articles that cover similar content. Authors can reuse or update an existing article instead of creating a duplicate, which keeps your knowledge base consistent, accurate, and easier to maintain.
products:
  - Service Cloud
release: "264"
---
# Knowledge Similarity

When your authors write, review, or draft a knowledge article—manually or with AI—they can check for existing articles that cover similar content. Authors can reuse or update an existing article instead of creating a duplicate, which keeps your knowledge base consistent, accurate, and easier to maintain.

### Required Editions

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small edition"><colgroup><col></colgroup><tbody><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in Lightning Experience. <a href="https://help.salesforce.com/s/articleView?id=service.service_editions_reference.htm&amp;language=en_US" target="_blank">View supported editions</a>.</td></tr></tbody></table>

Duplicate and near-duplicate articles make it harder to find the right answer and multiply the content that you maintain. Knowledge Similarity helps your authors catch overlap early before another duplicate article is published.

When an author checks for similar articles, Knowledge Similarity compares the content in the article against your existing articles and returns the closest matches, each with a similarity rating. Knowledge Similarity ranks matches as Very Low, Low, Medium, High, or Very High, based on how closely the content aligns with the article the author is writing or viewing. Authors decide whether to open a match and improve it, or continue with a new article.

Knowledge Similarity is grounded on an Agentforce Data Library in Data 360, which indexes your knowledge articles. When an author checks for similar articles, the feature retrieves the most similar articles from that indexed content and ranks the matches. To get the most accurate matches, ground Knowledge Similarity on a data library that has an [enriched search index](https://help.salesforce.com/s/articleView?id=data.c360_a_search_index_enriched_index.htm&type=5&language=en_US).

Knowledge Similarity uses semantic matching to identify similar articles based on meaning and intent, instead of exact keywords. For example, it can connect search queries such as “Wi-Fi not working” with an article titled "Resolving wireless connectivity issues." Knowledge Similarity identifies near-duplicate articles and surfaces relevant content even when the phrasing differs.

- **[Knowledge Similarity Considerations](https://help.salesforce.com/s/articleView?id=service.knowledge_similarity_considerations.htm&release=264.0.0&type=5)**  
    Review these considerations before you set up and use Knowledge Similarity.
- **[Set Up Knowledge Similarity](https://help.salesforce.com/s/articleView?id=service.knowledge_similarity_setup.htm&release=264.0.0&type=5)**  
    Set up Data 360 and an Agentforce Data Library, then turn on Knowledge Similarity so your authors can check for similar articles before they publish.
- **[Find Similar Knowledge Articles](https://help.salesforce.com/s/articleView?id=service.knowledge_similarity_use.htm&release=264.0.0&type=5)**  
    Knowledge Similarity compares a draft or published article against your knowledge base and returns a ranked list of similar articles. Use Knowledge Similarity before publishing new content to avoid duplicates, or when reviewing existing articles to identify coverage gaps.