docs: remove deprecated Graph Memory references (#5277)
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@@ -47,7 +47,7 @@ When a query arrives, the retrieval pipeline scores candidates across three sign
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1. **Semantic Search** — Vector similarity scoring against memory embeddings
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2. **Keyword Search** — Normalized term matching via BM25 with verb-form lemmatization
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3. **Entity Search** — Entity graph matching boosts memories linked to query entities
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3. **Entity Search** — Entity matching boosts memories linked to query entities
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Results are fused via rank scoring into a final top-K set. Different query types lean on different signals:
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