{"format": "ta-amps.seed-pack.nouns.v1", "pack_id": "faiss-ivf-pq-and-ann-index-cascade", "status": "proposal_only", "records": [
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No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": [{"relation": "requires_noun", "target_id": "seedpack.faiss-ivf-pq-and-ann-index-cascade/faiss-ivf-pq-and-ann-index-cascade.v0.1.0.guardrail.divisible-subspaces-and-uint8-codebook-bounds", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.faiss-ivf-pq-and-ann-index-cascade/faiss-ivf-pq-and-ann-index-cascade.v0.1.0.guardrail.grid-governed-cascade-and-zero-magic-literals", "target_category": "noun.skill_pack", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.faiss-ivf-pq-and-ann-index-cascade/faiss-ivf-pq-and-ann-index-cascade.v0.1.0.spec.ivf-pq-and-adc-cascade-grid", "target_category": "noun.benchmark_suite", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.faiss-ivf-pq-and-ann-index-cascade/faiss-ivf-pq-and-ann-index-cascade.v0.1.0.rules.residual-pq-and-adc-lookup", "target_category": "noun.reflex_procedure", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.faiss-ivf-pq-and-ann-index-cascade/faiss-ivf-pq-and-ann-index-cascade.v0.1.0.tool.ivf-pq-cascade", "target_category": "noun.code_node", "note": ""}, {"relation": "requires_noun", "target_id": "seedpack.faiss-ivf-pq-and-ann-index-cascade/faiss-ivf-pq-and-ann-index-cascade.v0.1.0.template.ivf-pq-cascade-receipt", "target_category": "noun.scene_recipe", "note": ""}]}},
{"store": "seedpack.faiss-ivf-pq-and-ann-index-cascade", "key": "faiss-ivf-pq-and-ann-index-cascade.v0.1.0.guardrail.divisible-subspaces-and-uint8-codebook-bounds", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:faiss-ivf-pq-and-ann-index-cascade", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "faiss-ivf-pq-and-ann-index-cascade", "pack_version": "0.1.0", "title": "Guardrail: vector dimensions must divide evenly across M subspaces and K_sub centroids must fit uint8 storage", "category_reason": "Preserves lossless subspace slicing and 1-byte-per-subspace PQ code layout.", "rule": "Require dim % subspaces_m == 0, 1 <= subspace_centroids_k <= max_uint8_centroids (256) and nprobe <= nlist.", "how_it_is_checked": "ProductQuantizedIvfIndex.fit and NodeGrid.is_applicable reject non-divisible dimensions, out-of-range codebooks and invalid probe counts.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.faiss-ivf-pq-and-ann-index-cascade", "key": "faiss-ivf-pq-and-ann-index-cascade.v0.1.0.guardrail.grid-governed-cascade-and-zero-magic-literals", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.skill_pack", "pack:faiss-ivf-pq-and-ann-index-cascade", "role:guardrail", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.skill_pack", "role": "guardrail", "pack": "faiss-ivf-pq-and-ann-index-cascade", "pack_version": "0.1.0", "title": "Guardrail: all Voronoi, PQ codebook and top-R rerank scalars resolve from NodeGrid with zero inline magic literals", "category_reason": "Prevents hardcoded index constants and enforces cross-parameter rerank constraints.", "rule": "Resolve nlist, nprobe, subspaces_m, subspace_centroids_k and rerank_top_r from default_grid_spec.json and enforce ZeroHardcodedValuesAstGate.", "how_it_is_checked": "scan_directory_for_hardcoded_values and NodeGrid constraint checks run during make check.", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.faiss-ivf-pq-and-ann-index-cascade", "key": "faiss-ivf-pq-and-ann-index-cascade.v0.1.0.spec.ivf-pq-and-adc-cascade-grid", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.benchmark_suite", "pack:faiss-ivf-pq-and-ann-index-cascade", "role:spec", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.benchmark_suite", "role": "spec", "pack": "faiss-ivf-pq-and-ann-index-cascade", "pack_version": "0.1.0", "title": "Specification: ProductQuantizedIvfIndex Voronoi partitioning, uint8 PQ encoding and ADC + top-R cascade", "category_reason": "Defines coarse quantizer, residual product quantizer, ADC lookup table and exact rerank cascade parameters.", "components": ["ProductQuantizedIvfIndex", "kmeans_plus_plus_fit", "benchmark_ivf_pq_regimes"], "regimes": ["fast_compact", "high_recall"], "fast_compact_subspaces_m": 4, "high_recall_subspaces_m": 8, "max_uint8_centroids": 256, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.faiss-ivf-pq-and-ann-index-cascade", "key": "faiss-ivf-pq-and-ann-index-cascade.v0.1.0.rules.residual-pq-and-adc-lookup", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.reflex_procedure", "pack:faiss-ivf-pq-and-ann-index-cascade", "role:rules", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.reflex_procedure", "role": "rules", "pack": "faiss-ivf-pq-and-ann-index-cascade", "pack_version": "0.1.0", "title": "Deterministic residual quantization, M x K_sub ADC lookup tables and top-R exact rerank equations", "category_reason": "Zero-model ANN indexing and asymmetric distance lookup equations.", "residual_equation": "r(x) = x - C_{c(x)}, partitioned into M contiguous subvectors r_1(x), ..., r_M(x) in R^{D/M}", "adc_lookup_equation": "d_ADC^2(q, x) = sum_{m=0}^{M-1} LUT_c[m][code_m(x)], where LUT_c[m][k] = ||(q - C_c)_m - U_{m,k}||_2^2", "compression_equation": "compression_vs_float64 = (D * 8) / M; compression_vs_float32 = (D * 4) / M", "model_calls": 0, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.faiss-ivf-pq-and-ann-index-cascade", "key": "faiss-ivf-pq-and-ann-index-cascade.v0.1.0.tool.ivf-pq-cascade", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.code_node", "pack:faiss-ivf-pq-and-ann-index-cascade", "role:tool_card", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.code_node", "role": "tool_card", "pack": "faiss-ivf-pq-and-ann-index-cascade", "pack_version": "0.1.0", "title": "Tool card: standard-library IVF-PQ index with k-means++, uint8 PQ codes, ADC lookup and top-R reranking", "category_reason": "Tested Python 3.10+ standard-library package pinned by path, file count and SHA-256.", "name": "FAISS IVF-PQ and ANN index cascade", "code": {"path": "packs/faiss-ivf-pq-and-ann-index-cascade/code", "files": 12, "sha256": "615969f3909cb6de9b9d29563107836861e25f49438633e40b4e31972ac033d6"}, "runtime": "Python 3.10 or later, standard library only.", "commands": ["python -m ivf_pq_cascade --bundle BUNDLE.json"], "does": ["Implements deterministic k-means++ initialization and Lloyd iterations for coarse Voronoi cells and M residual PQ sub-codebooks.", "Stores indexed vectors as compact M-byte uint8 PQ codes inside inverted lists and answers queries via M x K_sub Asymmetric Distance Computation lookup tables plus optional exact top-R reranking.", "Benchmarks exact byte compression ratios vs float64/float32 and Recall@k across fast_compact and high_recall grid cells."], "does_not": ["Require C++ extensions, external numerical packages or hardcoded numeric scalars in operational functions."], "code_license": "MIT", "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": [{"relation": "verifies", "target_id": "seedpack.faiss-ivf-pq-and-ann-index-cascade/faiss-ivf-pq-and-ann-index-cascade.v0.1.0.spec.ivf-pq-and-adc-cascade-grid", "target_category": "noun.benchmark_suite", "note": ""}]}},
{"store": "seedpack.faiss-ivf-pq-and-ann-index-cascade", "key": "faiss-ivf-pq-and-ann-index-cascade.v0.1.0.template.ivf-pq-cascade-receipt", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.scene_recipe", "pack:faiss-ivf-pq-and-ann-index-cascade", "role:template", "content:authored", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.scene_recipe", "role": "template", "pack": "faiss-ivf-pq-and-ann-index-cascade", "pack_version": "0.1.0", "title": "Template: IVF-PQ memory compression and Recall@k regime benchmark receipt", "describes": "a deterministic receipt recording PQ byte footprints, compression ratios vs float64/float32, ADC candidate scan counts, exact rerank counts and Recall@k across fast_compact and high_recall regimes", "schema": {"type": "object", "additionalProperties": false, "required": ["num_vectors", "dim", "num_queries", "top_k", "fast_compact_pq_bytes", "fast_compact_compression_vs_float64", "fast_compact_compression_vs_float32", "fast_compact_recall_at_k", "fast_compact_mean_adc_scanned", "fast_compact_mean_exact_reranked", "high_recall_pq_bytes", "high_recall_compression_vs_float64", "high_recall_compression_vs_float32", "high_recall_recall_at_k", "high_recall_mean_adc_scanned", "high_recall_mean_exact_reranked"], "properties": {"num_vectors": {"type": "integer", "minimum": 1}, "dim": {"type": "integer", "minimum": 1}, "num_queries": {"type": "integer", "minimum": 1}, "top_k": {"type": "integer", "minimum": 1}, "fast_compact_pq_bytes": {"type": "integer", "minimum": 1}, "fast_compact_compression_vs_float64": {"type": "number", "minimum": 1.0}, "fast_compact_compression_vs_float32": {"type": "number", "minimum": 1.0}, "fast_compact_recall_at_k": {"type": "number", "minimum": 0.0, "maximum": 1.0}, "fast_compact_mean_adc_scanned": {"type": "number", "minimum": 0.0}, "fast_compact_mean_exact_reranked": {"type": "number", "minimum": 0.0}, "high_recall_pq_bytes": {"type": "integer", "minimum": 1}, "high_recall_compression_vs_float64": {"type": "number", "minimum": 1.0}, "high_recall_compression_vs_float32": {"type": "number", "minimum": 1.0}, "high_recall_recall_at_k": {"type": "number", "minimum": 0.0, "maximum": 1.0}, "high_recall_mean_adc_scanned": {"type": "number", "minimum": 0.0}, "high_recall_mean_exact_reranked": {"type": "number", "minimum": 0.0}}}, "example": {"num_vectors": 192, "dim": 32, "num_queries": 24, "top_k": 5, "fast_compact_pq_bytes": 4, "fast_compact_compression_vs_float64": 64.0, "fast_compact_compression_vs_float32": 32.0, "fast_compact_recall_at_k": 0.533333, "fast_compact_mean_adc_scanned": 24.0, "fast_compact_mean_exact_reranked": 0.0, "high_recall_pq_bytes": 8, "high_recall_compression_vs_float64": 32.0, "high_recall_compression_vs_float32": 16.0, "high_recall_recall_at_k": 1.0, "high_recall_mean_adc_scanned": 96.0, "high_recall_mean_exact_reranked": 20.0}, "status": "proposal", "admission": "not_admitted", "content_kind": "authored_guidance", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.faiss-ivf-pq-and-ann-index-cascade", "key": "faiss-ivf-pq-and-ann-index-cascade.v0.1.0.example.ivf-pq-cascade-bundle", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.eval_run", "pack:faiss-ivf-pq-and-ann-index-cascade", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.eval_run", "role": "example", "pack": "faiss-ivf-pq-and-ann-index-cascade", "pack_version": "0.1.0", "title": "Worked example input: seeded 192-vector 32-D clustered corpus and fast_compact vs high_recall regime evaluation", "category_reason": "Synthetic fixture recomputed by test_ivf_pq_cascade.py.", "synthetic_corpus": {"num_vectors": 192, "dim": 32, "num_clusters": 8, "num_queries": 24, "center_scale": 5.0, "cluster_spread": 0.55, "query_noise": 0.45, "seed": 17}, "top_k": 5, "regimes": ["fast_compact", "high_recall"], "shows": "IVF-PQ coarse Voronoi clustering, uint8 residual product quantization, ADC table lookups and exact top-R reranking.", "source": "Synthetic. Written for this pack.", "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": []}},
{"store": "seedpack.faiss-ivf-pq-and-ann-index-cascade", "key": "faiss-ivf-pq-and-ann-index-cascade.v0.1.0.example.ivf-pq-cascade-receipt", "expected_version": 0, "producer_surface": "surface:tessera", "visibility_scope": "surface_only", "allowed_surfaces": [], "target_cohorts": ["all"], "tags": ["category:noun.eval_run", "pack:faiss-ivf-pq-and-ann-index-cascade", "role:example", "synthetic:true", "spdx:MIT", "status:quarantined"], "value": {"category_id": "noun.eval_run", "role": "example", "pack": "faiss-ivf-pq-and-ann-index-cascade", "pack_version": "0.1.0", "title": "Worked example output: recomputed IVF-PQ compression and Recall@5 receipt", "category_reason": "Synthetic receipt verified by test_ivf_pq_cascade.py.", "conforms_to": {"store": "seedpack.faiss-ivf-pq-and-ann-index-cascade", "key": "faiss-ivf-pq-and-ann-index-cascade.v0.1.0.template.ivf-pq-cascade-receipt", "version": 1, "value_sha256": "3b5785fc1bc01837c694c0b35d30c3a86dc4dd9678f4d8f1e5c971dfd93921aa"}, "instance": {"num_vectors": 192, "dim": 32, "num_queries": 24, "top_k": 5, "fast_compact_pq_bytes": 4, "fast_compact_compression_vs_float64": 64.0, "fast_compact_compression_vs_float32": 32.0, "fast_compact_recall_at_k": 0.533333, "fast_compact_mean_adc_scanned": 24.0, "fast_compact_mean_exact_reranked": 0.0, "high_recall_pq_bytes": 8, "high_recall_compression_vs_float64": 32.0, "high_recall_compression_vs_float32": 16.0, "high_recall_recall_at_k": 1.0, "high_recall_mean_adc_scanned": 96.0, "high_recall_mean_exact_reranked": 20.0}, "shows": "Recomputes 64.0x/32.0x float64/float32 compression in fast_compact and 1.00 Recall@5 with 32.0x/16.0x compression and top-20 reranking in high_recall.", "source": "Synthetic. Recomputed directly from example.ivf-pq-cascade-bundle.", "status": "proposal", "admission": "not_admitted", "content_kind": "synthetic_example", "license": "MIT", "provenance": {"source": "original ta-amps authored proposal", "license": "MIT", "generator": "scripts/build_packs.py", "independently_verified": false}, "dimensions": {"determinism": 0.0, "evidence_grounding": 0.0, "token_efficiency": 0.0, "safety_compliance": 0.0, "verification_tier": "unverified"}, "dimension_basis": {"measured": false, "method": "unmeasured_floor", "reason": "Tessera requires these axes, so each is set to its lowest value and the tier is unverified. No quality is claimed. Replace them only with measured values and the evidence that produced them."}, "relations": [{"relation": "derives_from", "target_id": "seedpack.faiss-ivf-pq-and-ann-index-cascade/faiss-ivf-pq-and-ann-index-cascade.v0.1.0.example.ivf-pq-cascade-bundle", "target_category": "noun.eval_run", "note": ""}, {"relation": "verifies", "target_id": "seedpack.faiss-ivf-pq-and-ann-index-cascade/faiss-ivf-pq-and-ann-index-cascade.v0.1.0.template.ivf-pq-cascade-receipt", "target_category": "noun.scene_recipe", "note": ""}]}}
]}