{
    "schema": "lxkeys.world.entry@2.2.1",
    "language": "fr",
    "entry": {
        "id": "ENT-00001157",
        "status": "published",
        "name": "pgvector",
        "aliases": [],
        "entity_type": "AI System",
        "classification": "Specialized AI System",
        "creator": "pgvector contributors",
        "organization": "pgvector contributors",
        "origin_context": "AI infrastructure and developer tooling record",
        "first_public_appearance": "2021",
        "current_status": "Active",
        "official_website": "https://github.com/pgvector/pgvector",
        "image": "",
        "short_description": "pgvector is a AI system associated with pgvector contributors, classified in LXKeys.world as Specialized AI System.",
        "public_description": "pgvector is a postgresql vector extension associated with pgvector contributors. It is documented as an infrastructure or tooling entity because it shapes how models, agents, retrieval systems, evaluations or AI applications are built, deployed, observed or used.",
        "technical_description": "Technical infrastructure record for pgvector. The record captures its role as a postgresql vector extension, source documentation, operational context, integration surfaces and relationships to model serving, retrieval, evaluation, orchestration or developer workflows.",
        "capabilities": [
            "AI application support",
            "Model integration",
            "Developer workflow integration",
            "Technical documentation anchor"
        ],
        "limitations": [
            "This entity describes an enabling tool or infrastructure layer rather than a standalone intelligent assistant.",
            "Capabilities depend on configuration, model choice and deployment environment."
        ],
        "timeline": [
            {
                "date": "2021",
                "title": "First public appearance",
                "description": "pgvector entered the documented public record in 2021. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/pgvector/pgvector",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "sources": [
            {
                "label": "pgvector official documentation",
                "url": "https://github.com/pgvector/pgvector",
                "source_type": "Official Documentation",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "relationships": [
            {
                "target": "pgvector contributors",
                "type": "Created or maintained by",
                "description": "pgvector is associated with pgvector contributors.",
                "evidence_level": "documentary"
            }
        ],
        "tags": [
            "AI Infrastructure",
            "Developer Tool",
            "Technical System",
            "Contemporary",
            "Batch 03 Candidate"
        ],
        "registry_status": "Structured",
        "created_at": "2026-06-16T23:59:14+00:00",
        "updated_at": "2026-09-08T04:55:00+00:00",
        "dypclt_created": "D-0 Y-2 P-3 C-3 L-21 T-3",
        "dypclt_updated": "D-0 Y-2 P-3 C-3 L-21 T-3",
        "temporal_index": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:14+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:14+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "documentation_status": "Documented",
        "machine_readable_purpose": "Machine-readable registry record for pgvector: type, classification, organization, source, release period, capability profile and graph relationships.",
        "schema_ready": true,
        "first_public_appearance_precision": "year",
        "first_public_appearance_verification": "preserved_from_source_record",
        "image_status": "missing_official_image_candidate",
        "reviewed_at": "2026-09-08T04:55:00+00:00",
        "quality_status": "curated_official_first_baseline",
        "source_policy": "official_first_secondary_context_only",
        "quality_review": {
            "reviewed_at": "2026-09-08T04:55:00+00:00",
            "official_sources": 0,
            "trusted_primary_sources": 1,
            "secondary_sources": 0,
            "date_status": "preserved_from_source_record",
            "image_status": "missing",
            "manual_followup_required": true,
            "review_scope": "official-first structural curation; records flagged for follow-up are not claimed as individually exhaustive fact-checks"
        },
        "dypclt_reviewed": "D-0 Y-2 P-4 C-4 L-33 T-6",
        "world_id": "ENT-00001157",
        "kind": "AI Systems",
        "type": "AI System",
        "subtype": "",
        "facts": [],
        "canonical": [],
        "image_meta": [],
        "source_state": [],
        "i18n": {
            "en": [],
            "fr": []
        }
    },
    "computed": {
        "category": "AI Systems",
        "type": "AI System",
        "subtype": "",
        "documentation_index": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV Connected"
        },
        "is_lxkeys_entity": false,
        "graph_endpoint": "graph.php?center=ENT-00001157&depth=1"
    }
}