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Add use-case guidance for semantic-embeddings RAG strategy
Add a "Best for..." statement to the semantic-embeddings description, matching the pattern used by chunked-embeddings and BM25, so readers can compare strategies at a glance. Fixes #24571
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content/manuals/ai/docker-agent/reference/config.md

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@@ -367,7 +367,7 @@ synonyms, and paraphrasing.
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#### Semantic-embeddings
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LLM-enhanced semantic search. Uses a language model to generate rich semantic
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summaries of each chunk before embedding, capturing deeper meaning.
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summaries of each chunk before embedding, capturing deeper meaning. Best for complex documents where context and relationships between concepts matter.
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| Field | Type | Default |
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| ---------------------------------- | ------- | ------- |

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