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production-ai-decision-rules

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production-ai-decision-rules / rag.jsonl
dmytro-nasyrov's picture
dmytro-nasyrov
Add 42 draft decision records with native method registries
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25.1 kB
{"config": "rag", "decision_job": "PATH_SELECTION", "limitations": ["Native method retained; numeric preference is not a probability or performance benchmark.", "Architecture proposals have no published canonical source; framework facts retain their original cutoff."], "payload_json": "{\"claimIds\": [\"CLAIM-RAG-FRESHNESS-FIT\", \"CLAIM-CORPUS-QUALITY\"], \"disqualifiers\": [\"NO_AUTHORITATIVE_CORPUS\"], \"id\": \"RULE-BLOCKED-NO-CORPUS\", \"kind\": \"decision\", \"nextSteps\": [\"Identify an authoritative, permissioned corpus and an owner for updates before selecting a knowledge architecture.\"], \"outcomeId\": \"BLOCKED\", \"priority\": 10, \"rejectedOutcomes\": [\"RAG\", \"HYBRID\", \"FINE_TUNING\"], \"sourceIds\": [\"SOURCE-MICROSOFT-RAG-VS-FT\", \"SOURCE-RAG-PAPER\"], \"when\": {\"all\": [{\"criterionId\": \"authoritative_corpus\", \"operator\": \"equals\", \"value\": \"no\"}], \"any\": [{\"criterionId\": \"fresh_facts\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"source_citations\", \"operator\": \"equals\", \"value\": \"yes\"}]}}", "record_id": "RULE-BLOCKED-NO-CORPUS", "record_type": "RULE", "review_status": "NOT_REVIEWED", "snapshot_at": "2026-09-17T06:17:24Z", "source_commit_sha": "6ea24ef75c3ad09a3bb76d1c20a173bfab592559", "source_data_hash": "sha256:2e7e1cc3602086eccdced9d531ae327fc9d17f1d7e09e9b7f431c918e6627d83", "source_url": "https://github.com/PharosProduction/rag-vs-fine-tuning-matrix/blob/6ea24ef75c3ad09a3bb76d1c20a173bfab592559/data/rules.json", "status": "DRAFT", "verified_at": null}
{"config": "rag", "decision_job": "PATH_SELECTION", "limitations": ["Native method retained; numeric preference is not a probability or performance benchmark.", "Architecture proposals have no published canonical source; framework facts retain their original cutoff."], "payload_json": "{\"claimIds\": [\"CLAIM-EVAL-FIRST\"], \"id\": \"RULE-INSUFFICIENT-UNKNOWN-CORE\", \"kind\": \"decision\", \"nextSteps\": [\"Resolve every unknown core input with a named evidence owner before forcing an architecture choice.\"], \"outcomeId\": \"INSUFFICIENT_EVIDENCE\", \"priority\": 20, \"sourceIds\": [\"SOURCE-OPENAI-MODEL-OPTIMIZATION\"], \"when\": {\"any\": [{\"criterionId\": \"fresh_facts\", \"operator\": \"equals\", \"value\": \"unknown\"}, {\"criterionId\": \"source_citations\", \"operator\": \"equals\", \"value\": \"unknown\"}, {\"criterionId\": \"behavior_change\", \"operator\": \"equals\", \"value\": \"unknown\"}, {\"criterionId\": \"representative_examples\", \"operator\": \"equals\", \"value\": \"unknown\"}, {\"criterionId\": \"evaluation_set\", \"operator\": \"equals\", \"value\": \"unknown\"}, {\"criterionId\": \"authoritative_corpus\", \"operator\": \"equals\", \"value\": \"unknown\"}, {\"criterionId\": \"retrieval_operations\", \"operator\": \"equals\", \"value\": \"unknown\"}, {\"criterionId\": \"training_operations\", \"operator\": \"equals\", \"value\": \"unknown\"}, {\"criterionId\": \"stable_narrow_task\", \"operator\": \"equals\", \"value\": \"unknown\"}]}}", "record_id": "RULE-INSUFFICIENT-UNKNOWN-CORE", "record_type": "RULE", "review_status": "NOT_REVIEWED", "snapshot_at": "2026-09-17T06:17:24Z", "source_commit_sha": "6ea24ef75c3ad09a3bb76d1c20a173bfab592559", "source_data_hash": "sha256:2e7e1cc3602086eccdced9d531ae327fc9d17f1d7e09e9b7f431c918e6627d83", "source_url": "https://github.com/PharosProduction/rag-vs-fine-tuning-matrix/blob/6ea24ef75c3ad09a3bb76d1c20a173bfab592559/data/rules.json", "status": "DRAFT", "verified_at": null}
{"config": "rag", "decision_job": "PATH_SELECTION", "limitations": ["Native method retained; numeric preference is not a probability or performance benchmark.", "Architecture proposals have no published canonical source; framework facts retain their original cutoff."], "payload_json": "{\"claimIds\": [\"CLAIM-EVAL-FIRST\", \"CLAIM-EXAMPLES-REQUIRED\"], \"disqualifiers\": [\"NO_EVALUATION_SET\"], \"id\": \"RULE-INSUFFICIENT-NO-EVAL\", \"kind\": \"decision\", \"nextSteps\": [\"Create a versioned task evaluation set and acceptance criteria, then compare candidates against the same baseline.\"], \"outcomeId\": \"INSUFFICIENT_EVIDENCE\", \"priority\": 30, \"sourceIds\": [\"SOURCE-OPENAI-MODEL-OPTIMIZATION\"], \"when\": {\"all\": [{\"criterionId\": \"evaluation_set\", \"operator\": \"equals\", \"value\": \"no\"}]}}", "record_id": "RULE-INSUFFICIENT-NO-EVAL", "record_type": "RULE", "review_status": "NOT_REVIEWED", "snapshot_at": "2026-09-17T06:17:24Z", "source_commit_sha": "6ea24ef75c3ad09a3bb76d1c20a173bfab592559", "source_data_hash": "sha256:2e7e1cc3602086eccdced9d531ae327fc9d17f1d7e09e9b7f431c918e6627d83", "source_url": "https://github.com/PharosProduction/rag-vs-fine-tuning-matrix/blob/6ea24ef75c3ad09a3bb76d1c20a173bfab592559/data/rules.json", "status": "DRAFT", "verified_at": null}
{"config": "rag", "decision_job": "PATH_SELECTION", "limitations": ["Native method retained; numeric preference is not a probability or performance benchmark.", "Architecture proposals have no published canonical source; framework facts retain their original cutoff."], "payload_json": "{\"claimIds\": [\"CLAIM-EXAMPLES-REQUIRED\", \"CLAIM-EVAL-FIRST\"], \"id\": \"RULE-BASELINE-NO-EXAMPLES\", \"kind\": \"decision\", \"nextSteps\": [\"Establish a prompt baseline and collect permitted, representative failure and success examples before training.\"], \"outcomeId\": \"BASELINE_FIRST\", \"priority\": 40, \"rejectedOutcomes\": [\"FINE_TUNING\", \"HYBRID\"], \"sourceIds\": [\"SOURCE-OPENAI-MODEL-OPTIMIZATION\"], \"when\": {\"all\": [{\"criterionId\": \"behavior_change\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"representative_examples\", \"operator\": \"equals\", \"value\": \"no\"}]}}", "record_id": "RULE-BASELINE-NO-EXAMPLES", "record_type": "RULE", "review_status": "NOT_REVIEWED", "snapshot_at": "2026-09-17T06:17:24Z", "source_commit_sha": "6ea24ef75c3ad09a3bb76d1c20a173bfab592559", "source_data_hash": "sha256:2e7e1cc3602086eccdced9d531ae327fc9d17f1d7e09e9b7f431c918e6627d83", "source_url": "https://github.com/PharosProduction/rag-vs-fine-tuning-matrix/blob/6ea24ef75c3ad09a3bb76d1c20a173bfab592559/data/rules.json", "status": "DRAFT", "verified_at": null}
{"config": "rag", "decision_job": "PATH_SELECTION", "limitations": ["Native method retained; numeric preference is not a probability or performance benchmark.", "Architecture proposals have no published canonical source; framework facts retain their original cutoff."], "payload_json": "{\"claimIds\": [\"CLAIM-CORPUS-QUALITY\"], \"disqualifiers\": [\"NO_RETRIEVAL_OPERATING_PATH\"], \"id\": \"RULE-BLOCKED-NO-RETRIEVAL-OPS\", \"kind\": \"decision\", \"nextSteps\": [\"Assign ownership for ingestion, index freshness, retrieval evaluation, rollback, and access control.\"], \"outcomeId\": \"BLOCKED\", \"priority\": 50, \"rejectedOutcomes\": [\"RAG\", \"HYBRID\"], \"sourceIds\": [\"SOURCE-MICROSOFT-RAG-VS-FT\"], \"when\": {\"all\": [{\"criterionId\": \"authoritative_corpus\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"retrieval_operations\", \"operator\": \"equals\", \"value\": \"no\"}], \"any\": [{\"criterionId\": \"fresh_facts\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"source_citations\", \"operator\": \"equals\", \"value\": \"yes\"}]}}", "record_id": "RULE-BLOCKED-NO-RETRIEVAL-OPS", "record_type": "RULE", "review_status": "NOT_REVIEWED", "snapshot_at": "2026-09-17T06:17:24Z", "source_commit_sha": "6ea24ef75c3ad09a3bb76d1c20a173bfab592559", "source_data_hash": "sha256:2e7e1cc3602086eccdced9d531ae327fc9d17f1d7e09e9b7f431c918e6627d83", "source_url": "https://github.com/PharosProduction/rag-vs-fine-tuning-matrix/blob/6ea24ef75c3ad09a3bb76d1c20a173bfab592559/data/rules.json", "status": "DRAFT", "verified_at": null}
{"config": "rag", "decision_job": "PATH_SELECTION", "limitations": ["Native method retained; numeric preference is not a probability or performance benchmark.", "Architecture proposals have no published canonical source; framework facts retain their original cutoff."], "payload_json": "{\"claimIds\": [\"CLAIM-EXAMPLES-REQUIRED\", \"CLAIM-EVAL-FIRST\"], \"disqualifiers\": [\"NO_TRAINING_OPERATING_PATH\"], \"id\": \"RULE-BLOCKED-NO-TRAINING-OPS\", \"kind\": \"decision\", \"nextSteps\": [\"Assign ownership for datasets, model versions, regression evaluation, rollback, and provider lifecycle.\"], \"outcomeId\": \"BLOCKED\", \"priority\": 60, \"rejectedOutcomes\": [\"FINE_TUNING\", \"HYBRID\"], \"sourceIds\": [\"SOURCE-OPENAI-MODEL-OPTIMIZATION\"], \"when\": {\"all\": [{\"criterionId\": \"behavior_change\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"representative_examples\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"training_operations\", \"operator\": \"equals\", \"value\": \"no\"}]}}", "record_id": "RULE-BLOCKED-NO-TRAINING-OPS", "record_type": "RULE", "review_status": "NOT_REVIEWED", "snapshot_at": "2026-09-17T06:17:24Z", "source_commit_sha": "6ea24ef75c3ad09a3bb76d1c20a173bfab592559", "source_data_hash": "sha256:2e7e1cc3602086eccdced9d531ae327fc9d17f1d7e09e9b7f431c918e6627d83", "source_url": "https://github.com/PharosProduction/rag-vs-fine-tuning-matrix/blob/6ea24ef75c3ad09a3bb76d1c20a173bfab592559/data/rules.json", "status": "DRAFT", "verified_at": null}
{"config": "rag", "decision_job": "PATH_SELECTION", "limitations": ["Native method retained; numeric preference is not a probability or performance benchmark.", "Architecture proposals have no published canonical source; framework facts retain their original cutoff."], "payload_json": "{\"claimIds\": [\"CLAIM-HYBRID-PATTERN\", \"CLAIM-DUAL-OPERATIONS\", \"CLAIM-RAFT-SCOPE\"], \"id\": \"RULE-HYBRID-CANDIDATE\", \"kind\": \"decision\", \"nextSteps\": [\"Test retrieval and behavior adaptation separately before testing the combined system; retain both rollback paths.\"], \"outcomeId\": \"HYBRID\", \"priority\": 70, \"sourceIds\": [\"SOURCE-RAFT-PAPER\", \"SOURCE-MICROSOFT-RAG-VS-FT\"], \"when\": {\"all\": [{\"criterionId\": \"behavior_change\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"representative_examples\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"authoritative_corpus\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"retrieval_operations\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"training_operations\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"stable_narrow_task\", \"operator\": \"equals\", \"value\": \"yes\"}], \"any\": [{\"criterionId\": \"fresh_facts\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"source_citations\", \"operator\": \"equals\", \"value\": \"yes\"}]}}", "record_id": "RULE-HYBRID-CANDIDATE", "record_type": "RULE", "review_status": "NOT_REVIEWED", "snapshot_at": "2026-09-17T06:17:24Z", "source_commit_sha": "6ea24ef75c3ad09a3bb76d1c20a173bfab592559", "source_data_hash": "sha256:2e7e1cc3602086eccdced9d531ae327fc9d17f1d7e09e9b7f431c918e6627d83", "source_url": "https://github.com/PharosProduction/rag-vs-fine-tuning-matrix/blob/6ea24ef75c3ad09a3bb76d1c20a173bfab592559/data/rules.json", "status": "DRAFT", "verified_at": null}
{"config": "rag", "decision_job": "PATH_SELECTION", "limitations": ["Native method retained; numeric preference is not a probability or performance benchmark.", "Architecture proposals have no published canonical source; framework facts retain their original cutoff."], "payload_json": "{\"claimIds\": [\"CLAIM-RAG-RUNTIME-RETRIEVAL\", \"CLAIM-RAG-FRESHNESS-FIT\", \"CLAIM-RAG-PROVENANCE\"], \"id\": \"RULE-RAG-CANDIDATE\", \"kind\": \"decision\", \"nextSteps\": [\"Build a retrieval baseline and evaluate passage relevance, claim support, answer quality, freshness, and recovery from stale indexes.\"], \"outcomeId\": \"RAG\", \"priority\": 80, \"sourceIds\": [\"SOURCE-RAG-PAPER\", \"SOURCE-MICROSOFT-RAG-VS-FT\"], \"when\": {\"all\": [{\"criterionId\": \"authoritative_corpus\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"retrieval_operations\", \"operator\": \"equals\", \"value\": \"yes\"}], \"any\": [{\"criterionId\": \"fresh_facts\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"source_citations\", \"operator\": \"equals\", \"value\": \"yes\"}]}}", "record_id": "RULE-RAG-CANDIDATE", "record_type": "RULE", "review_status": "NOT_REVIEWED", "snapshot_at": "2026-09-17T06:17:24Z", "source_commit_sha": "6ea24ef75c3ad09a3bb76d1c20a173bfab592559", "source_data_hash": "sha256:2e7e1cc3602086eccdced9d531ae327fc9d17f1d7e09e9b7f431c918e6627d83", "source_url": "https://github.com/PharosProduction/rag-vs-fine-tuning-matrix/blob/6ea24ef75c3ad09a3bb76d1c20a173bfab592559/data/rules.json", "status": "DRAFT", "verified_at": null}
{"config": "rag", "decision_job": "PATH_SELECTION", "limitations": ["Native method retained; numeric preference is not a probability or performance benchmark.", "Architecture proposals have no published canonical source; framework facts retain their original cutoff."], "payload_json": "{\"claimIds\": [\"CLAIM-FINE-TUNING-BEHAVIOR\", \"CLAIM-EXAMPLES-REQUIRED\", \"CLAIM-LORA-METHOD\"], \"id\": \"RULE-FINE-TUNING-CANDIDATE\", \"kind\": \"decision\", \"nextSteps\": [\"Compare prompt-only and fine-tuned candidates on target behavior, held-out examples, regressions, and rollback readiness.\"], \"outcomeId\": \"FINE_TUNING\", \"priority\": 90, \"sourceIds\": [\"SOURCE-OPENAI-MODEL-OPTIMIZATION\", \"SOURCE-MICROSOFT-RAG-VS-FT\", \"SOURCE-LORA-PAPER\"], \"when\": {\"all\": [{\"criterionId\": \"behavior_change\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"representative_examples\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"training_operations\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"stable_narrow_task\", \"operator\": \"equals\", \"value\": \"yes\"}], \"none\": [{\"criterionId\": \"fresh_facts\", \"operator\": \"equals\", \"value\": \"yes\"}, {\"criterionId\": \"source_citations\", \"operator\": \"equals\", \"value\": \"yes\"}]}}", "record_id": "RULE-FINE-TUNING-CANDIDATE", "record_type": "RULE", "review_status": "NOT_REVIEWED", "snapshot_at": "2026-09-17T06:17:24Z", "source_commit_sha": "6ea24ef75c3ad09a3bb76d1c20a173bfab592559", "source_data_hash": "sha256:2e7e1cc3602086eccdced9d531ae327fc9d17f1d7e09e9b7f431c918e6627d83", "source_url": "https://github.com/PharosProduction/rag-vs-fine-tuning-matrix/blob/6ea24ef75c3ad09a3bb76d1c20a173bfab592559/data/rules.json", "status": "DRAFT", "verified_at": null}
{"config": "rag", "decision_job": "PATH_SELECTION", "limitations": ["Native method retained; numeric preference is not a probability or performance benchmark.", "Architecture proposals have no published canonical source; framework facts retain their original cutoff."], "payload_json": "{\"claimIds\": [\"CLAIM-EVAL-FIRST\"], \"id\": \"RULE-BASELINE-NO-PRIMARY-GAP\", \"kind\": \"decision\", \"nextSteps\": [\"Measure the current prompt or workflow baseline and document a specific failure class before adding architecture.\"], \"outcomeId\": \"BASELINE_FIRST\", \"priority\": 100, \"sourceIds\": [\"SOURCE-OPENAI-MODEL-OPTIMIZATION\"], \"when\": {\"all\": [{\"criterionId\": \"fresh_facts\", \"operator\": \"equals\", \"value\": \"no\"}, {\"criterionId\": \"source_citations\", \"operator\": \"equals\", \"value\": \"no\"}, {\"criterionId\": \"behavior_change\", \"operator\": \"equals\", \"value\": \"no\"}]}}", "record_id": "RULE-BASELINE-NO-PRIMARY-GAP", "record_type": "RULE", "review_status": "NOT_REVIEWED", "snapshot_at": "2026-09-17T06:17:24Z", "source_commit_sha": "6ea24ef75c3ad09a3bb76d1c20a173bfab592559", "source_data_hash": "sha256:2e7e1cc3602086eccdced9d531ae327fc9d17f1d7e09e9b7f431c918e6627d83", "source_url": "https://github.com/PharosProduction/rag-vs-fine-tuning-matrix/blob/6ea24ef75c3ad09a3bb76d1c20a173bfab592559/data/rules.json", "status": "DRAFT", "verified_at": null}
{"config": "rag", "decision_job": "PATH_SELECTION", "limitations": ["Native method retained; numeric preference is not a probability or performance benchmark.", "Architecture proposals have no published canonical source; framework facts retain their original cutoff."], "payload_json": "{\"claimIds\": [\"CLAIM-EVAL-FIRST\"], \"id\": \"RULE-INSUFFICIENT-FALLBACK\", \"kind\": \"decision\", \"nextSteps\": [\"Document which requirement, data asset, or operating capability prevents the available evidence from matching a candidate rule.\"], \"outcomeId\": \"INSUFFICIENT_EVIDENCE\", \"priority\": 110, \"sourceIds\": [\"SOURCE-OPENAI-MODEL-OPTIMIZATION\", \"SOURCE-PHAROS-GUIDE\"], \"when\": {\"all\": [{\"criterionId\": \"fresh_facts\", \"operator\": \"not_equals\", \"value\": \"unknown\"}]}}", "record_id": "RULE-INSUFFICIENT-FALLBACK", "record_type": "RULE", "review_status": "NOT_REVIEWED", "snapshot_at": "2026-09-17T06:17:24Z", "source_commit_sha": "6ea24ef75c3ad09a3bb76d1c20a173bfab592559", "source_data_hash": "sha256:2e7e1cc3602086eccdced9d531ae327fc9d17f1d7e09e9b7f431c918e6627d83", "source_url": "https://github.com/PharosProduction/rag-vs-fine-tuning-matrix/blob/6ea24ef75c3ad09a3bb76d1c20a173bfab592559/data/rules.json", "status": "DRAFT", "verified_at": null}
{"config": "rag", "decision_job": "PATH_SELECTION", "limitations": ["Native method retained; numeric preference is not a probability or performance benchmark.", "Architecture proposals have no published canonical source; framework facts retain their original cutoff."], "payload_json": "{\"claimIds\": [\"CLAIM-LEXICAL-SEMANTIC\", \"CLAIM-RERANKING\"], \"id\": \"ADVISORY-LEXICAL-RETRIEVAL\", \"kind\": \"advisory\", \"nextSteps\": [\"Benchmark BM25 or another lexical path alongside embeddings, then evaluate fusion and reranking on exact-term failures.\"], \"priority\": 200, \"sourceIds\": [\"SOURCE-ANTHROPIC-CONTEXTUAL-RETRIEVAL\"], \"when\": {\"all\": [{\"criterionId\": \"exact_term_retrieval\", \"operator\": \"equals\", \"value\": \"yes\"}]}}", "record_id": "ADVISORY-LEXICAL-RETRIEVAL", "record_type": "RULE", "review_status": "NOT_REVIEWED", "snapshot_at": "2026-09-17T06:17:24Z", "source_commit_sha": "6ea24ef75c3ad09a3bb76d1c20a173bfab592559", "source_data_hash": "sha256:2e7e1cc3602086eccdced9d531ae327fc9d17f1d7e09e9b7f431c918e6627d83", "source_url": "https://github.com/PharosProduction/rag-vs-fine-tuning-matrix/blob/6ea24ef75c3ad09a3bb76d1c20a173bfab592559/data/rules.json", "status": "DRAFT", "verified_at": null}
{"config": "rag", "decision_job": "PATH_SELECTION", "limitations": ["Native method retained; numeric preference is not a probability or performance benchmark.", "Architecture proposals have no published canonical source; framework facts retain their original cutoff."], "payload_json": "{\"claimIds\": [\"CLAIM-RAG-PROVENANCE\"], \"id\": \"ADVISORY-CITATION-FAITHFULNESS\", \"kind\": \"advisory\", \"nextSteps\": [\"Evaluate whether each material generated claim is supported by its cited passage; do not treat citation presence as faithfulness.\"], \"priority\": 210, \"sourceIds\": [\"SOURCE-RAG-PAPER\", \"SOURCE-ANTHROPIC-CONTEXTUAL-RETRIEVAL\"], \"when\": {\"all\": [{\"criterionId\": \"source_citations\", \"operator\": \"equals\", \"value\": \"yes\"}]}}", "record_id": "ADVISORY-CITATION-FAITHFULNESS", "record_type": "RULE", "review_status": "NOT_REVIEWED", "snapshot_at": "2026-09-17T06:17:24Z", "source_commit_sha": "6ea24ef75c3ad09a3bb76d1c20a173bfab592559", "source_data_hash": "sha256:2e7e1cc3602086eccdced9d531ae327fc9d17f1d7e09e9b7f431c918e6627d83", "source_url": "https://github.com/PharosProduction/rag-vs-fine-tuning-matrix/blob/6ea24ef75c3ad09a3bb76d1c20a173bfab592559/data/rules.json", "status": "DRAFT", "verified_at": null}
{"config": "rag", "decision_job": "PATH_SELECTION", "limitations": ["Native method retained; numeric preference is not a probability or performance benchmark.", "Architecture proposals have no published canonical source; framework facts retain their original cutoff."], "payload_json": "{\"claimIds\": [\"CLAIM-RUNTIME-MEASUREMENT\"], \"id\": \"ADVISORY-RUNTIME-BENCHMARK\", \"kind\": \"advisory\", \"nextSteps\": [\"Benchmark end-to-end latency and cost on the intended provider, corpus, traffic shape, and quality target.\"], \"priority\": 220, \"sourceIds\": [\"SOURCE-MICROSOFT-RAG-VS-FT\", \"SOURCE-OPENAI-MODEL-OPTIMIZATION\"], \"when\": {\"all\": [{\"criterionId\": \"strict_runtime_budget\", \"operator\": \"equals\", \"value\": \"yes\"}]}}", "record_id": "ADVISORY-RUNTIME-BENCHMARK", "record_type": "RULE", "review_status": "NOT_REVIEWED", "snapshot_at": "2026-09-17T06:17:24Z", "source_commit_sha": "6ea24ef75c3ad09a3bb76d1c20a173bfab592559", "source_data_hash": "sha256:2e7e1cc3602086eccdced9d531ae327fc9d17f1d7e09e9b7f431c918e6627d83", "source_url": "https://github.com/PharosProduction/rag-vs-fine-tuning-matrix/blob/6ea24ef75c3ad09a3bb76d1c20a173bfab592559/data/rules.json", "status": "DRAFT", "verified_at": null}
{"config": "rag", "decision_job": "PATH_SELECTION", "limitations": ["Native method retained; numeric preference is not a probability or performance benchmark.", "Architecture proposals have no published canonical source; framework facts retain their original cutoff."], "payload_json": "{\"claimIds\": [\"CLAIM-PRIVACY-TOPOLOGY\"], \"id\": \"ADVISORY-PRIVACY-TOPOLOGY\", \"kind\": \"advisory\", \"nextSteps\": [\"Retain the verified data-flow map and recheck provider retention, training, access, and deletion controls before release.\"], \"priority\": 230, \"sourceIds\": [\"SOURCE-OPENAI-DATA-CONTROLS\"], \"when\": {\"all\": [{\"criterionId\": \"privacy_topology\", \"operator\": \"equals\", \"value\": \"yes\"}]}}", "record_id": "ADVISORY-PRIVACY-TOPOLOGY", "record_type": "RULE", "review_status": "NOT_REVIEWED", "snapshot_at": "2026-09-17T06:17:24Z", "source_commit_sha": "6ea24ef75c3ad09a3bb76d1c20a173bfab592559", "source_data_hash": "sha256:2e7e1cc3602086eccdced9d531ae327fc9d17f1d7e09e9b7f431c918e6627d83", "source_url": "https://github.com/PharosProduction/rag-vs-fine-tuning-matrix/blob/6ea24ef75c3ad09a3bb76d1c20a173bfab592559/data/rules.json", "status": "DRAFT", "verified_at": null}
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