feat(rag): close eval pipeline with live snapshots
This commit is contained in:
zhuyongxin
@@ -1,25 +1,81 @@
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{
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"caseId": "aiops-payment-latency-alert",
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"query": "Alert HighLatency on payment-service with p95 latency above threshold",
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"retrievedAt": "2026-07-05T00:00:00Z",
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"candidates": [
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{
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"rank": 1,
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"docId": "payment-service-latency",
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"title": "Payment Service Latency Alert Playbook",
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"breadcrumb": "AIOps > Service Alerts > Payment Latency",
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"content": "For payment-service p95 latency alerts, check downstream dependency latency, thread pool saturation, gateway retries, and recent deployment changes.",
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"score": 0.84,
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"retrievalLayer": "L1"
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"retrievedAt": "2026-07-06T00:00:00Z",
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"lookupResult": {
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"found": true,
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"evidenceBlocks": [
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{
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"source": "payment-service-latency",
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"title": "Payment Service Latency Alert Playbook",
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"breadcrumb": "AIOps > Service Alerts > Payment Latency",
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"retrievalLayer": "L1",
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"content": "For payment-service p95 latency alerts, check downstream dependency latency, thread pool saturation, gateway retries, and recent deployment changes.",
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"score": 0.84,
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"hitReasons": ["domain_match:+0.15", "entity_match:+0.20", "keyword_match:+0.10"]
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},
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{
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"source": "mysql-connection-pool",
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"title": "MySQL Connection Pool Troubleshooting",
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"breadcrumb": "Database > MySQL > Connection Pool",
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"retrievalLayer": "L1",
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"content": "Database connection pool saturation can increase payment latency when checkout paths wait for connections.",
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"score": 0.68,
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"hitReasons": ["keyword_match:+0.10"]
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}
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],
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"contextPack": {
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"packedText": "[1] Payment Service Latency Alert Playbook\nAIOps > Service Alerts > Payment Latency\nFor payment-service p95 latency alerts, check downstream dependency latency, thread pool saturation, gateway retries, and recent deployment changes.",
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"strategy": "top_evidence_blocks",
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"charBudget": 3500,
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"usedChars": 236,
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"includedSources": ["payment-service-latency", "mysql-connection-pool"],
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"omittedSources": []
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},
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{
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"rank": 2,
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"docId": "mysql-connection-pool",
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"title": "MySQL Connection Pool Troubleshooting",
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"breadcrumb": "Database > MySQL > Connection Pool",
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"content": "Database connection pool saturation can increase payment latency when checkout paths wait for connections.",
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"score": 0.68,
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"retrievalLayer": "L1"
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"retrievalTrace": {
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"originalQuery": "Alert HighLatency on payment-service with p95 latency above threshold",
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"rewrittenQuery": "HighLatency payment-service p95 latency alert downstream dependency diagnosis",
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"categoryFilter": "AIOps",
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"selectedAttempt": "FILTERED_VECTOR",
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"fallbackReason": null,
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"evidenceStatus": "supported",
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"queryHints": {
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"domains": ["AIOps"],
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"matched_keywords": ["p95 latency", "payment-service", "downstream dependency"],
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"entities": ["payment-service", "HighLatency"],
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"l0_titles": ["Payment Service Latency Alert Playbook"],
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"l0_match_count": 1
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},
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"attempts": [
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{
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"name": "FILTERED_VECTOR",
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"query": "HighLatency payment-service p95 latency alert downstream dependency diagnosis",
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"categoryFilter": "AIOps",
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"candidateCount": 2,
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"usable": true,
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"durationMs": 11,
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"topScore": 0.84,
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"topSimilarity": 0.84
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}
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]
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},
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"rerankTrace": {
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"items": [
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{
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"finalRank": 1,
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"source": "payment-service-latency",
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"baseScore": 0.84,
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"finalScore": 1.29,
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"boostReasons": ["domain_match:+0.15", "entity_match:+0.20", "keyword_match:+0.10"]
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},
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{
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"finalRank": 2,
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"source": "mysql-connection-pool",
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"baseScore": 0.68,
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"finalScore": 0.78,
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"boostReasons": ["keyword_match:+0.10"]
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}
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]
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}
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]
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}
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}
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@@ -1,16 +1,65 @@
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{
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"caseId": "aiops-prometheus-alert-scope",
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"query": "When an AIOps request already includes alert payload, should the agent diagnose unrelated active alerts?",
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"retrievedAt": "2026-07-05T00:00:00Z",
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"candidates": [
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{
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"rank": 1,
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"docId": "aiops-alert-scope-control",
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"title": "AIOps Alert Scope Control",
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"breadcrumb": "AIOps > Alert Scope Control",
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"content": "When payload mode is active, queryPrometheusAlerts can verify the supplied alert, but unrelated active alerts must remain scoped context and should not become full diagnoses.",
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"score": 0.9,
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"retrievalLayer": "L0+L1"
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"retrievedAt": "2026-07-06T00:00:00Z",
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"lookupResult": {
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"found": true,
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"evidenceBlocks": [
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{
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"source": "aiops-alert-scope-control",
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"title": "AIOps Alert Scope Control",
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"breadcrumb": "AIOps > Alert Scope Control",
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"retrievalLayer": "L1",
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"content": "When payload mode is used, diagnose the input alert payload and do not expand unrelated active alerts into the main diagnosis scope.",
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"score": 0.88,
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"hitReasons": ["domain_match:+0.15", "keyword_match:+0.10"]
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}
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],
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"contextPack": {
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"packedText": "[1] AIOps Alert Scope Control\nAIOps > Alert Scope Control\nWhen payload mode is used, diagnose the input alert payload and do not expand unrelated active alerts into the main diagnosis scope.",
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"strategy": "top_evidence_blocks",
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"charBudget": 3500,
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"usedChars": 188,
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"includedSources": ["aiops-alert-scope-control"],
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"omittedSources": []
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},
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"retrievalTrace": {
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"originalQuery": "When an AIOps request already includes alert payload, should the agent diagnose unrelated active alerts?",
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"rewrittenQuery": "AIOps alert payload scope unrelated active alerts diagnosis",
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"categoryFilter": "AIOps",
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"selectedAttempt": "FILTERED_VECTOR",
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"fallbackReason": null,
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"evidenceStatus": "supported",
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"queryHints": {
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"domains": ["AIOps"],
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"matched_keywords": ["payload", "unrelated active alerts", "scope"],
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"entities": ["alert payload"],
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"l0_titles": ["AIOps Alert Scope Control"],
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"l0_match_count": 1
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},
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"attempts": [
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{
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"name": "FILTERED_VECTOR",
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"query": "AIOps alert payload scope unrelated active alerts diagnosis",
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"categoryFilter": "AIOps",
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"candidateCount": 1,
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"usable": true,
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"durationMs": 8,
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"topScore": 0.88,
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"topSimilarity": 0.88
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}
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]
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},
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"rerankTrace": {
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"items": [
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{
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"finalRank": 1,
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"source": "aiops-alert-scope-control",
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"baseScore": 0.88,
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"finalScore": 1.13,
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"boostReasons": ["domain_match:+0.15", "keyword_match:+0.10"]
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}
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]
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}
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]
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}
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}
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@@ -1,25 +1,81 @@
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{
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"caseId": "chat-diagnosis-flow",
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"query": "What is the standard troubleshooting flow for an application incident?",
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"retrievedAt": "2026-07-05T00:00:00Z",
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"candidates": [
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{
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"rank": 1,
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"docId": "incident-diagnosis-flow",
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"title": "Incident Diagnosis Flow",
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"breadcrumb": "AIOps > Diagnosis Flow",
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"content": "The standard flow is to collect evidence, identify the suspected fault domain, verify the hypothesis, apply remediation, and confirm recovery.",
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"score": 0.82,
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"retrievalLayer": "L1"
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"retrievedAt": "2026-07-06T00:00:00Z",
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"lookupResult": {
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"found": true,
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"evidenceBlocks": [
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{
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"source": "incident-diagnosis-flow",
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"title": "Incident Diagnosis Flow",
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"breadcrumb": "AIOps > Diagnosis Flow",
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"retrievalLayer": "L1",
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"content": "The standard flow is to collect evidence, identify the suspected fault domain, verify the hypothesis, apply remediation, and confirm recovery.",
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"score": 0.82,
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"hitReasons": ["domain_match:+0.15", "keyword_match:+0.10"]
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},
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{
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"source": "rag-chunk-context-reconstruction",
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"title": "RAG Chunk Context Reconstruction",
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"breadcrumb": "RAG > Chunking > Context Reconstruction",
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"retrievalLayer": "L1",
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"content": "Long sections may require neighbor chunk expansion and breadcrumb-aware packing.",
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"score": 0.55,
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"hitReasons": []
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}
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],
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"contextPack": {
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"packedText": "[1] Incident Diagnosis Flow\nAIOps > Diagnosis Flow\nThe standard flow is to collect evidence, identify the suspected fault domain, verify the hypothesis, apply remediation, and confirm recovery.",
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"strategy": "top_evidence_blocks",
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"charBudget": 3500,
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"usedChars": 192,
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"includedSources": ["incident-diagnosis-flow", "rag-chunk-context-reconstruction"],
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"omittedSources": []
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},
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{
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"rank": 2,
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"docId": "rag-chunk-context-reconstruction",
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"title": "RAG Chunk Context Reconstruction",
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"breadcrumb": "RAG > Chunking > Context Reconstruction",
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"content": "Long sections may require neighbor chunk expansion and breadcrumb-aware packing.",
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"score": 0.55,
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||||
"retrievalLayer": "L1"
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||||
"retrievalTrace": {
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||||
"originalQuery": "What is the standard troubleshooting flow for an application incident?",
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||||
"rewrittenQuery": "standard application incident troubleshooting flow collect evidence verify remediation",
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||||
"categoryFilter": "AIOps",
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||||
"selectedAttempt": "FILTERED_VECTOR",
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||||
"fallbackReason": null,
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||||
"evidenceStatus": "supported",
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||||
"queryHints": {
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||||
"domains": ["AIOps"],
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"matched_keywords": ["collect evidence", "verify", "remediation"],
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"entities": ["application incident"],
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"l0_titles": ["Incident Diagnosis Flow"],
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"l0_match_count": 1
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||||
},
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"attempts": [
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{
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"name": "FILTERED_VECTOR",
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"query": "standard application incident troubleshooting flow collect evidence verify remediation",
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"categoryFilter": "AIOps",
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"candidateCount": 2,
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||||
"usable": true,
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||||
"durationMs": 10,
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||||
"topScore": 0.82,
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||||
"topSimilarity": 0.82
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||||
}
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||||
]
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||||
},
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||||
"rerankTrace": {
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||||
"items": [
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||||
{
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||||
"finalRank": 1,
|
||||
"source": "incident-diagnosis-flow",
|
||||
"baseScore": 0.82,
|
||||
"finalScore": 1.07,
|
||||
"boostReasons": ["domain_match:+0.15", "keyword_match:+0.10"]
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||||
},
|
||||
{
|
||||
"finalRank": 2,
|
||||
"source": "rag-chunk-context-reconstruction",
|
||||
"baseScore": 0.55,
|
||||
"finalScore": 0.55,
|
||||
"boostReasons": []
|
||||
}
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||||
]
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}
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]
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}
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}
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@@ -1,25 +1,81 @@
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{
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"caseId": "chat-l0-domain-hint",
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"query": "Should L0 keyword matching decide the final retrieval result?",
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"retrievedAt": "2026-07-05T00:00:00Z",
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||||
"candidates": [
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||||
{
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||||
"rank": 1,
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||||
"docId": "rag-l0-domain-entity-hint",
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||||
"title": "RAG L0 Domain Entity Hint",
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||||
"breadcrumb": "RAG > L0 > Domain Entity Hint",
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||||
"content": "L0 should be retained as a domain detector, entity extractor, metadata filter generator, and explainability signal, not as the final retrieval decision.",
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||||
"score": 0.88,
|
||||
"retrievalLayer": "L0"
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||||
"retrievedAt": "2026-07-06T00:00:00Z",
|
||||
"lookupResult": {
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||||
"found": true,
|
||||
"evidenceBlocks": [
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||||
{
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||||
"source": "rag-l0-domain-entity-hint",
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||||
"title": "RAG L0 Domain Entity Hint",
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||||
"breadcrumb": "RAG > L0 > Domain Entity Hint",
|
||||
"retrievalLayer": "L1",
|
||||
"content": "L0 should be retained as a domain detector, entity extractor, metadata filter generator, and explainability signal, not as the final retrieval decision.",
|
||||
"score": 0.88,
|
||||
"hitReasons": ["domain_match:+0.15", "keyword_match:+0.10"]
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||||
},
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||||
{
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||||
"source": "rag-l0-l1-fusion-ranking",
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||||
"title": "RAG L0 L1 Fusion Ranking",
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"breadcrumb": "RAG > Ranking > Fusion",
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||||
"retrievalLayer": "L1",
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||||
"content": "L0 and L1 candidates should eventually be fused rather than handled as an early-return branch.",
|
||||
"score": 0.75,
|
||||
"hitReasons": ["domain_match:+0.15"]
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||||
}
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||||
],
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||||
"contextPack": {
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||||
"packedText": "[1] RAG L0 Domain Entity Hint\nRAG > L0 > Domain Entity Hint\nL0 should be retained as a domain detector, entity extractor, metadata filter generator, and explainability signal, not as the final retrieval decision.",
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||||
"strategy": "top_evidence_blocks",
|
||||
"charBudget": 3500,
|
||||
"usedChars": 219,
|
||||
"includedSources": ["rag-l0-domain-entity-hint", "rag-l0-l1-fusion-ranking"],
|
||||
"omittedSources": []
|
||||
},
|
||||
{
|
||||
"rank": 2,
|
||||
"docId": "rag-l0-l1-fusion-ranking",
|
||||
"title": "RAG L0 L1 Fusion Ranking",
|
||||
"breadcrumb": "RAG > Ranking > Fusion",
|
||||
"content": "L0 and L1 candidates should eventually be fused rather than handled as an early-return branch.",
|
||||
"score": 0.75,
|
||||
"retrievalLayer": "L1"
|
||||
"retrievalTrace": {
|
||||
"originalQuery": "Should L0 keyword matching decide the final retrieval result?",
|
||||
"rewrittenQuery": "RAG L0 keyword matching domain entity hint final retrieval decision",
|
||||
"categoryFilter": "RAG",
|
||||
"selectedAttempt": "FILTERED_VECTOR",
|
||||
"fallbackReason": null,
|
||||
"evidenceStatus": "supported",
|
||||
"queryHints": {
|
||||
"domains": ["RAG"],
|
||||
"matched_keywords": ["domain detector", "entity extractor", "metadata filter"],
|
||||
"entities": ["L0"],
|
||||
"l0_titles": ["RAG L0 Domain Entity Hint"],
|
||||
"l0_match_count": 1
|
||||
},
|
||||
"attempts": [
|
||||
{
|
||||
"name": "FILTERED_VECTOR",
|
||||
"query": "RAG L0 keyword matching domain entity hint final retrieval decision",
|
||||
"categoryFilter": "RAG",
|
||||
"candidateCount": 2,
|
||||
"usable": true,
|
||||
"durationMs": 9,
|
||||
"topScore": 0.88,
|
||||
"topSimilarity": 0.88
|
||||
}
|
||||
]
|
||||
},
|
||||
"rerankTrace": {
|
||||
"items": [
|
||||
{
|
||||
"finalRank": 1,
|
||||
"source": "rag-l0-domain-entity-hint",
|
||||
"baseScore": 0.88,
|
||||
"finalScore": 1.13,
|
||||
"boostReasons": ["domain_match:+0.15", "keyword_match:+0.10"]
|
||||
},
|
||||
{
|
||||
"finalRank": 2,
|
||||
"source": "rag-l0-l1-fusion-ranking",
|
||||
"baseScore": 0.75,
|
||||
"finalScore": 0.9,
|
||||
"boostReasons": ["domain_match:+0.15"]
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
|
||||
@@ -0,0 +1,91 @@
|
||||
{
|
||||
"caseId": "chat-l0-filter-fallback",
|
||||
"query": "RAG query was over-filtered by L0 and filtered vector search returned low quality evidence. What should happen?",
|
||||
"retrievedAt": "2026-07-06T00:00:00Z",
|
||||
"lookupResult": {
|
||||
"found": true,
|
||||
"evidenceBlocks": [
|
||||
{
|
||||
"source": "rag-l0-filter-fallback",
|
||||
"title": "RAG L0 Filter Fallback",
|
||||
"breadcrumb": "RAG > Fallback > Unfiltered Retry",
|
||||
"retrievalLayer": "L1",
|
||||
"content": "When filtered vector retrieval is low quality, skip the L0 filter and run an unfiltered vector retry with the raw query before returning no evidence.",
|
||||
"score": 0.83,
|
||||
"hitReasons": ["domain_match:+0.15", "keyword_match:+0.10"]
|
||||
},
|
||||
{
|
||||
"source": "rag-l0-domain-entity-hint",
|
||||
"title": "RAG L0 Domain Entity Hint",
|
||||
"breadcrumb": "RAG > L0 > Domain Entity Hint",
|
||||
"retrievalLayer": "L1",
|
||||
"content": "L0 supplies hints for metadata filtering and explanation, but it should not be treated as final fact evidence.",
|
||||
"score": 0.66,
|
||||
"hitReasons": ["domain_match:+0.15"]
|
||||
}
|
||||
],
|
||||
"contextPack": {
|
||||
"packedText": "[1] RAG L0 Filter Fallback\nRAG > Fallback > Unfiltered Retry\nWhen filtered vector retrieval is low quality, skip the L0 filter and run an unfiltered vector retry with the raw query before returning no evidence.",
|
||||
"strategy": "top_evidence_blocks",
|
||||
"charBudget": 3500,
|
||||
"usedChars": 214,
|
||||
"includedSources": ["rag-l0-filter-fallback", "rag-l0-domain-entity-hint"],
|
||||
"omittedSources": []
|
||||
},
|
||||
"retrievalTrace": {
|
||||
"originalQuery": "RAG query was over-filtered by L0 and filtered vector search returned low quality evidence. What should happen?",
|
||||
"rewrittenQuery": "RAG L0 filtered vector low quality fallback unfiltered retry",
|
||||
"categoryFilter": "RAG",
|
||||
"selectedAttempt": "UNFILTERED_VECTOR_RETRY",
|
||||
"fallbackReason": "filtered_vector_low_quality",
|
||||
"evidenceStatus": "supported",
|
||||
"queryHints": {
|
||||
"domains": ["RAG"],
|
||||
"matched_keywords": ["L0", "low quality", "unfiltered vector retry"],
|
||||
"entities": ["L0"],
|
||||
"l0_titles": ["RAG L0 Domain Entity Hint"],
|
||||
"l0_match_count": 1
|
||||
},
|
||||
"attempts": [
|
||||
{
|
||||
"name": "FILTERED_VECTOR",
|
||||
"query": "RAG L0 filtered vector low quality fallback unfiltered retry",
|
||||
"categoryFilter": "RAG",
|
||||
"candidateCount": 1,
|
||||
"usable": false,
|
||||
"durationMs": 7,
|
||||
"topScore": 1.35,
|
||||
"topSimilarity": 0.325
|
||||
},
|
||||
{
|
||||
"name": "UNFILTERED_VECTOR_RETRY",
|
||||
"query": "RAG query was over-filtered by L0 and filtered vector search returned low quality evidence. What should happen?",
|
||||
"categoryFilter": null,
|
||||
"candidateCount": 2,
|
||||
"usable": true,
|
||||
"durationMs": 13,
|
||||
"topScore": 0.83,
|
||||
"topSimilarity": 0.83
|
||||
}
|
||||
]
|
||||
},
|
||||
"rerankTrace": {
|
||||
"items": [
|
||||
{
|
||||
"finalRank": 1,
|
||||
"source": "rag-l0-filter-fallback",
|
||||
"baseScore": 0.83,
|
||||
"finalScore": 1.08,
|
||||
"boostReasons": ["domain_match:+0.15", "keyword_match:+0.10"]
|
||||
},
|
||||
{
|
||||
"finalRank": 2,
|
||||
"source": "rag-l0-domain-entity-hint",
|
||||
"baseScore": 0.66,
|
||||
"finalScore": 0.81,
|
||||
"boostReasons": ["domain_match:+0.15"]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,25 +1,81 @@
|
||||
{
|
||||
"caseId": "chat-mysql-connection-pool",
|
||||
"query": "MySQL connection pool is exhausted. How should I diagnose it?",
|
||||
"retrievedAt": "2026-07-05T00:00:00Z",
|
||||
"candidates": [
|
||||
{
|
||||
"rank": 1,
|
||||
"docId": "mysql-connection-pool",
|
||||
"title": "MySQL Connection Pool Troubleshooting",
|
||||
"breadcrumb": "Database > MySQL > Connection Pool",
|
||||
"content": "When the connection pool is exhausted, inspect HikariCP active connections, max_connections, slow SQL, leak detection, and database wait events.",
|
||||
"score": 0.86,
|
||||
"retrievalLayer": "L0+L1"
|
||||
"retrievedAt": "2026-07-06T00:00:00Z",
|
||||
"lookupResult": {
|
||||
"found": true,
|
||||
"evidenceBlocks": [
|
||||
{
|
||||
"source": "mysql-connection-pool",
|
||||
"title": "MySQL Connection Pool Troubleshooting",
|
||||
"breadcrumb": "Database > MySQL > Connection Pool",
|
||||
"retrievalLayer": "L1",
|
||||
"content": "When the connection pool is exhausted, inspect HikariCP active connections, max_connections, slow SQL, leak detection, and database wait events.",
|
||||
"score": 0.86,
|
||||
"hitReasons": ["domain_match:+0.15", "keyword_match:+0.10"]
|
||||
},
|
||||
{
|
||||
"source": "incident-diagnosis-flow",
|
||||
"title": "Incident Diagnosis Flow",
|
||||
"breadcrumb": "AIOps > Diagnosis Flow",
|
||||
"retrievalLayer": "L1",
|
||||
"content": "Collect evidence, compare metrics and logs, then verify remediation before closing the incident.",
|
||||
"score": 0.61,
|
||||
"hitReasons": []
|
||||
}
|
||||
],
|
||||
"contextPack": {
|
||||
"packedText": "[1] MySQL Connection Pool Troubleshooting\nDatabase > MySQL > Connection Pool\nWhen the connection pool is exhausted, inspect HikariCP active connections, max_connections, slow SQL, leak detection, and database wait events.",
|
||||
"strategy": "top_evidence_blocks",
|
||||
"charBudget": 3500,
|
||||
"usedChars": 216,
|
||||
"includedSources": ["mysql-connection-pool", "incident-diagnosis-flow"],
|
||||
"omittedSources": []
|
||||
},
|
||||
{
|
||||
"rank": 2,
|
||||
"docId": "incident-diagnosis-flow",
|
||||
"title": "Incident Diagnosis Flow",
|
||||
"breadcrumb": "AIOps > Diagnosis Flow",
|
||||
"content": "Collect evidence, compare metrics and logs, then verify remediation before closing the incident.",
|
||||
"score": 0.61,
|
||||
"retrievalLayer": "L1"
|
||||
"retrievalTrace": {
|
||||
"originalQuery": "MySQL connection pool is exhausted. How should I diagnose it?",
|
||||
"rewrittenQuery": "MySQL connection pool exhausted HikariCP max_connections diagnosis",
|
||||
"categoryFilter": "Database",
|
||||
"selectedAttempt": "FILTERED_VECTOR",
|
||||
"fallbackReason": null,
|
||||
"evidenceStatus": "supported",
|
||||
"queryHints": {
|
||||
"domains": ["Database", "MySQL"],
|
||||
"matched_keywords": ["connection pool", "HikariCP", "max_connections"],
|
||||
"entities": ["MySQL", "HikariCP"],
|
||||
"l0_titles": ["MySQL Connection Pool Troubleshooting"],
|
||||
"l0_match_count": 1
|
||||
},
|
||||
"attempts": [
|
||||
{
|
||||
"name": "FILTERED_VECTOR",
|
||||
"query": "MySQL connection pool exhausted HikariCP max_connections diagnosis",
|
||||
"categoryFilter": "Database",
|
||||
"candidateCount": 2,
|
||||
"usable": true,
|
||||
"durationMs": 12,
|
||||
"topScore": 0.86,
|
||||
"topSimilarity": 0.86
|
||||
}
|
||||
]
|
||||
},
|
||||
"rerankTrace": {
|
||||
"items": [
|
||||
{
|
||||
"finalRank": 1,
|
||||
"source": "mysql-connection-pool",
|
||||
"baseScore": 0.86,
|
||||
"finalScore": 1.11,
|
||||
"boostReasons": ["domain_match:+0.15", "keyword_match:+0.10"]
|
||||
},
|
||||
{
|
||||
"finalRank": 2,
|
||||
"source": "incident-diagnosis-flow",
|
||||
"baseScore": 0.61,
|
||||
"finalScore": 0.61,
|
||||
"boostReasons": []
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,25 +1,81 @@
|
||||
{
|
||||
"caseId": "chat-rag-chunk-context",
|
||||
"query": "If a long section is split into multiple chunks, how do we keep retrieval context?",
|
||||
"retrievedAt": "2026-07-05T00:00:00Z",
|
||||
"candidates": [
|
||||
{
|
||||
"rank": 1,
|
||||
"docId": "rag-chunk-context-reconstruction",
|
||||
"title": "RAG Chunk Context Reconstruction",
|
||||
"breadcrumb": "RAG > Chunking > Context Reconstruction",
|
||||
"content": "After a chunk hit, expand to neighbor chunk candidates from the same section and preserve breadcrumb metadata in the evidence pack.",
|
||||
"score": 0.79,
|
||||
"retrievalLayer": "L1"
|
||||
"retrievedAt": "2026-07-06T00:00:00Z",
|
||||
"lookupResult": {
|
||||
"found": true,
|
||||
"evidenceBlocks": [
|
||||
{
|
||||
"source": "rag-chunk-context-reconstruction",
|
||||
"title": "RAG Chunk Context Reconstruction",
|
||||
"breadcrumb": "RAG > Chunking > Context Reconstruction",
|
||||
"retrievalLayer": "L1",
|
||||
"content": "After a chunk hit, expand to neighbor chunk candidates from the same section and preserve breadcrumb metadata in the evidence pack.",
|
||||
"score": 0.79,
|
||||
"hitReasons": ["domain_match:+0.15", "keyword_match:+0.10"]
|
||||
},
|
||||
{
|
||||
"source": "rag-breadcrumb-embedding-gap",
|
||||
"title": "RAG Breadcrumb Embedding Gap",
|
||||
"breadcrumb": "RAG > Embedding > Breadcrumb",
|
||||
"retrievalLayer": "L1",
|
||||
"content": "Embedding title and breadcrumb with content helps recover section semantics.",
|
||||
"score": 0.72,
|
||||
"hitReasons": ["domain_match:+0.15"]
|
||||
}
|
||||
],
|
||||
"contextPack": {
|
||||
"packedText": "[1] RAG Chunk Context Reconstruction\nRAG > Chunking > Context Reconstruction\nAfter a chunk hit, expand to neighbor chunk candidates from the same section and preserve breadcrumb metadata in the evidence pack.",
|
||||
"strategy": "top_evidence_blocks",
|
||||
"charBudget": 3500,
|
||||
"usedChars": 203,
|
||||
"includedSources": ["rag-chunk-context-reconstruction", "rag-breadcrumb-embedding-gap"],
|
||||
"omittedSources": []
|
||||
},
|
||||
{
|
||||
"rank": 2,
|
||||
"docId": "rag-breadcrumb-embedding-gap",
|
||||
"title": "RAG Breadcrumb Embedding Gap",
|
||||
"breadcrumb": "RAG > Embedding > Breadcrumb",
|
||||
"content": "Embedding title and breadcrumb with content helps recover section semantics.",
|
||||
"score": 0.72,
|
||||
"retrievalLayer": "L1"
|
||||
"retrievalTrace": {
|
||||
"originalQuery": "If a long section is split into multiple chunks, how do we keep retrieval context?",
|
||||
"rewrittenQuery": "RAG chunk context reconstruction neighbor chunk same section breadcrumb",
|
||||
"categoryFilter": "RAG",
|
||||
"selectedAttempt": "FILTERED_VECTOR",
|
||||
"fallbackReason": null,
|
||||
"evidenceStatus": "supported",
|
||||
"queryHints": {
|
||||
"domains": ["RAG"],
|
||||
"matched_keywords": ["neighbor chunk", "same section", "breadcrumb"],
|
||||
"entities": ["chunk", "breadcrumb"],
|
||||
"l0_titles": ["RAG Chunk Context Reconstruction"],
|
||||
"l0_match_count": 1
|
||||
},
|
||||
"attempts": [
|
||||
{
|
||||
"name": "FILTERED_VECTOR",
|
||||
"query": "RAG chunk context reconstruction neighbor chunk same section breadcrumb",
|
||||
"categoryFilter": "RAG",
|
||||
"candidateCount": 2,
|
||||
"usable": true,
|
||||
"durationMs": 9,
|
||||
"topScore": 0.79,
|
||||
"topSimilarity": 0.79
|
||||
}
|
||||
]
|
||||
},
|
||||
"rerankTrace": {
|
||||
"items": [
|
||||
{
|
||||
"finalRank": 1,
|
||||
"source": "rag-chunk-context-reconstruction",
|
||||
"baseScore": 0.79,
|
||||
"finalScore": 1.04,
|
||||
"boostReasons": ["domain_match:+0.15", "keyword_match:+0.10"]
|
||||
},
|
||||
{
|
||||
"finalRank": 2,
|
||||
"source": "rag-breadcrumb-embedding-gap",
|
||||
"baseScore": 0.72,
|
||||
"finalScore": 0.87,
|
||||
"boostReasons": ["domain_match:+0.15"]
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user