Design a vector index configuration within these strict constraints. HARD CONSTRAINTS: - Maximum memory: {{memory_limit_gb}}GB - Query latency p99: {{latency_p99_ms}}ms - Minimum recall: {{min_recall}}% - Vector dimensions: {{dimensions}} - Expected corpus size: {{corpus_size}} vectors OUTPUT FORMAT: ```yaml index_config: type: [HNSW|IVF|FLAT] parameters: # Index-specific params memory_estimate_gb: <number> expected_latency_p99_ms: <number> expected_recall: <number> justification: type_selection: <reason> parameter_choices: <reason> tradeoffs: <list> ``` Configuration must satisfy ALL constraints. Explain any tradeoffs made.
Constrained Vector Index Design
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Design vector index configuration under strict resource and performance constraints
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Index configurationResource optimizationPerformance tuning
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claude-sonnet-4-20250514gpt-4o
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