feat: Quantization support for elastic search#355
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vanitabhagwat wants to merge 6 commits intofeature/vector-storefrom
Open
feat: Quantization support for elastic search#355vanitabhagwat wants to merge 6 commits intofeature/vector-storefrom
vanitabhagwat wants to merge 6 commits intofeature/vector-storefrom
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- Add config fields: vector_index_type, hnsw_m, hnsw_ef_construction, rescore_oversample - Add use_native_knn toggle (default: false for backward compatibility) - Add knn_num_candidates_multiplier for query tuning - Comprehensive Pydantic validation for all config constraints - Support for int8, int4, bbq quantization with HNSW and flat indices - Dimension validation (int4 requires even dims, bbq requires >=64) - Dual query path: script_score (exact) vs native knn (approximate) - 17 unit tests covering config validation and index creation Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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vanitabhagwat
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April 8, 2026 18:22
- Fix mypy error: Argument 1 to b64decode has incompatible type - Add None check before decoding feature_value - Ensures type safety without changing behavior
- Remove unused patch import - Fix import ordering in test methods - No functional changes, all tests passing
- Auto-format with ruff for consistent code style - No functional changes, all tests passing
vanitabhagwat
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What this PR does / why we need it:
Which issue(s) this PR fixes:
Misc