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Copy file name to clipboardExpand all lines: apps/docs/content/docs/integrations/knowledge.mdx
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@@ -33,7 +33,7 @@ Integrate Knowledge into the workflow. Perform full CRUD operations on documents
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### Knowledge Search
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Search for similar content in a knowledge base using vector similarity
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Search for similar content in a knowledge base by relevance
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#### Input
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|`query`| string | No | Search query text \(optional when using tag filters\)|
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|`topK`| number | No | Number of most similar results to return \(1-100\)|
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|`tagFilters`| array | No | Array of tag filters with tagName and tagValue properties |
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|`searchMode`| string | No | Retrieval mode: 'vector' \(default\) uses semantic similarity only, 'hybrid' also runs a full-text leg and fuses both|
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|`searchMode`| string | No | Retrieval mode: 'hybrid' fuses a full-text leg with semantic similarity, 'vector' uses semantic similarity only; omit for the workspace's default|
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|`rerankerEnabled`| boolean | No | Whether to apply Cohere reranking to vector search results |
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|`rerankerModel`| string | No | Cohere rerank model to use \(one of: rerank-v4.0-pro, rerank-v4.0-fast, rerank-v3.5\)|
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|`rerankerInputCount`| number | No | Number of vector results sent to the Cohere reranker \(1–100\). Defaults to topK × 4 capped at 100. |
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