Add TypeScript select-algorithm sample#60
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Compares DiskANN, HNSW, and IVF vector index algorithms across COS, L2, and IP similarity metrics. Creates 9 collections (3 algorithms × 3 distances) for comprehensive comparison. Follows vector-search-typescript pattern: OIDC auth, mongodb driver, db.command() index creation, $search aggregation queries. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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🔄 Squad Review — PR #60 (DocumentDB Vector Algorithms - TypeScript)Reviewers: Alex (TypeScript), Drummer (Tech Review) ✅ ApprovedAlex (TypeScript Engineer):
Drummer (Tech Reviewer):
Holden (Content Lead):
Verdict: squad:pr-reviewed ✅Awaiting |
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📊 Squad Status — PR ReviewRalph (Work Monitor) — sweep on 2026-03-31 Review Pipeline Status
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diberry
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- Remove noImplicitAny: false (strict: true already enables it) - Update target from ES2020 to ES2022 (Node.js 20+ features) - Add embedding dimension validation after query embedding generation Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
- Add timeout (30s) and maxRetries (3) to AzureOpenAI client - Update API version to 2024-10-21 - Add explicit types to function parameters - Add startup validation for required environment variables Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Closing — this work has been consolidated into PR #74 (combined Article 2+3: select-algorithm samples for all 5 languages). |
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Adds TypeScript sample for comparing DocumentDB vector index algorithms (DiskANN, HNSW, IVF) across distance functions (cosine, L2, inner product).
Replaces #54 (branch rename for consistency).