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Copy file name to clipboardExpand all lines: app/frontend/src/locales/en/translation.json
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"minimumSearchScore": "Minimum search score",
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"minimumRerankerScore": "Minimum reranker score",
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"retrieveCount": "Retrieve this many search results:",
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"maxSubqueryCount": "Max subqueries",
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"resultsMergeStrategy": "Results merge strategy",
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"resultsMergeStrategyOptions": {
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"interleaved": "Interleaved",
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"Sets a minimum score for search results coming back from the semantic reranker. The score always ranges between 0-4. The higher the score, the more semantically relevant the result is to the question.",
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"retrieveNumber":
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"Sets the number of search results to retrieve from Azure AI search. More results may increase the likelihood of finding the correct answer, but may lead to the model getting 'lost in the middle'.",
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"maxSubqueryCount":
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"Sets the maximum number of subqueries to use for the agentic retrieval query plan.",
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"resultsMergeStrategy":
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"Sets the strategy for merging results from multiple subqueries. Interleaved picks the top results from each subquery in round robin order, while descending sorts all results by reranker score.",
Copy file name to clipboardExpand all lines: docs/agentic_retrieval.md
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Open the web app and start a new chat. Agentic retrieval will be used to find all sources.
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6.**Experiment with max subqueries:**
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Select the developer options in the web app and change max subqueries to any value between 1 and 20. This controls the maximum amount of subqueries that can be created in the query plan.
Agentic retrieval use additional billed tokens behind the scenes for the planning process.
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To see the token usage, select the lightbulb icon on a chat answer. This will open the "Thought process" tab, which shows the amount of tokens used by and the queries produced by the planning process
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