ENT-00001157 · AI Tool

pgvector

pgvector is a postgresql vector extension associated with pgvector contributors.

Level IV — ConnectedActiveStructured

Human readable record

Overview

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.

Timeline

2021pgvector public release or documentation
pgvector appears in public documentation as a postgresql vector extension associated with pgvector contributors.

Capabilities

AI application supportModel integrationDeveloper workflow integrationTechnical documentation anchor

Known 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.

Technical and registry detail

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.

Controlled tags

AI InfrastructureDeveloper ToolTechnical SystemContemporaryBatch 03 Candidate

Relationship graph

pgvector

Created or maintained bypgvector contributors

pgvector is associated with pgvector contributors.

Machine readable layer

Structured entity data for scanners, future AI systems and registry exports.

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001157",
    "name": "pgvector",
    "alternateName": [],
    "additionalType": "AI Tool",
    "description": "pgvector is a postgresql vector extension associated with pgvector contributors.",
    "creator": "pgvector contributors",
    "url": "entity.php?id=ENT-00001157",
    "sameAs": "https://github.com/pgvector/pgvector",
    "lxkeysWorld": {
        "classification": "PostgreSQL vector extension",
        "organization": "pgvector contributors",
        "originContext": "AI infrastructure and developer tooling record",
        "firstPublicAppearance": "2021",
        "currentStatus": "Active",
        "registryStatus": "Structured",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "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",
            "reviewed_utc": "2026-06-16T23:59:14+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "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."
        ],
        "tags": [
            "AI Infrastructure",
            "Developer Tool",
            "Technical System",
            "Contemporary",
            "Batch 03 Candidate"
        ],
        "timeline": [
            {
                "date": "2021",
                "title": "pgvector public release or documentation",
                "description": "pgvector appears in public documentation as a postgresql vector extension associated with pgvector contributors."
            }
        ],
        "relationships": [
            {
                "target": "pgvector contributors",
                "type": "Created or maintained by",
                "description": "pgvector is associated with pgvector contributors.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "pgvector official documentation",
                "url": "https://github.com/pgvector/pgvector",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}

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