ENT-00001621 · Embedding Model

E5 Large v2

E5 Large v2 is a text embedding model associated with Microsoft.

Level IV — ConnectedActiveConnected

Human readable record

Overview

E5 Large v2 is a documented AI model or assistant-related entity associated with Microsoft. The record focuses on its public identity, release context, capability class, source lineage and relationship to adjacent model or product families.

Timeline

2023E5 Large v2 public documentation anchor
E5 Large v2 appears in public documentation or stable reference sources as a text embedding model associated with Microsoft.

Capabilities

Semantic embeddingRetrieval supportSimilarity search

Known limitations

The record describes the public identity and documented role of the entity, not private implementation details.Capabilities depend on version, deployment context, access conditions and the available public documentation.

Technical and registry detail

Technical description

Structured record for E5 Large v2. The technical layer identifies entity type, classification, creator or organization, public source anchors, timeline entry, capabilities, limitations, registry status and graph relationships. Source anchor: https://huggingface.co/intfloat/e5-large-v2.

Controlled tags

EmbeddingRetrievalAI Model

Relationship graph

E5 Large v2

Created byMicrosoft

E5 Large v2 is associated with Microsoft through its documented source context.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001621",
    "name": "E5 Large v2",
    "alternateName": [],
    "additionalType": "Embedding Model",
    "description": "E5 Large v2 is a text embedding model associated with Microsoft.",
    "creator": "Microsoft",
    "url": "entity.php?id=ENT-00001621",
    "sameAs": "https://huggingface.co/intfloat/e5-large-v2",
    "lxkeysWorld": {
        "classification": "text embedding model",
        "organization": "Microsoft",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "registryStatus": "Connected",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:28+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:28+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:28+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "Semantic embedding",
            "Retrieval support",
            "Similarity search"
        ],
        "limitations": [
            "The record describes the public identity and documented role of the entity, not private implementation details.",
            "Capabilities depend on version, deployment context, access conditions and the available public documentation."
        ],
        "tags": [
            "Embedding",
            "Retrieval",
            "AI Model"
        ],
        "timeline": [
            {
                "date": "2023",
                "title": "E5 Large v2 public documentation anchor",
                "description": "E5 Large v2 appears in public documentation or stable reference sources as a text embedding model associated with Microsoft."
            }
        ],
        "relationships": [
            {
                "target": "Microsoft",
                "type": "Created by",
                "description": "E5 Large v2 is associated with Microsoft through its documented source context.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Model documentation",
                "url": "https://huggingface.co/intfloat/e5-large-v2",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}

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