R
ENT-00001000 · Developer Platform

Ragas

Ragas is a documented developer platform associated with Ragas.

Level IV — ConnectedActiveDocumented
Human readable record

Overview

Ragas is documented as an AI developer platform or infrastructure component associated with Ragas. Its importance comes from framework for evaluating retrieval-augmented generation systems. The record helps connect models, applications, agents and deployment environments inside the broader AI tooling layer.

Timeline

  1. 2023Ragas public reference

    Ragas is publicly documented in relation to Ragas.

Capabilities

AI application developmentModel orchestration or deploymentTool and API integrationDeveloper workflow support

Known limitations

Capabilities depend on product version, integration context and access tier.Public behavior can change as the provider updates models, policies and interfaces.
Technical and registry detail

Technical description

Structured record for Ragas. The technical layer identifies entity type Developer Platform, organization Ragas, source anchor https://docs.ragas.io/, capability fields, limitation fields, timeline event, source records, tags (Ragas, Developer Platform, Documented AI) and graph relationships for machine-readable registry integration.

Controlled tags

RagasDeveloper PlatformDocumented AIRAG
Relationship graph
Ragas
Creator or DeveloperRagas Project

Ragas Project is identified as a creator, developer or originating actor for Ragas.

Machine readable layer

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

{
    "@context": "https://schema.org",
    "@type": "Thing",
    "identifier": "ENT-00001000",
    "name": "Ragas",
    "alternateName": [],
    "additionalType": "Developer Platform",
    "description": "Ragas is a documented developer platform associated with Ragas.",
    "creator": "Ragas Project",
    "url": "entity.php?id=ENT-00001000",
    "sameAs": "https://docs.ragas.io/",
    "lxkeysWorld": {
        "classification": "RAG evaluation framework",
        "organization": "Ragas",
        "originContext": "AI evaluation tooling",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "registryStatus": "Documented",
        "spatiumIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV — Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:02+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:02+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "reviewed_utc": "2026-06-16T23:59:02+00:00",
            "reviewed_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "capabilities": [
            "AI application development",
            "Model orchestration or deployment",
            "Tool and API integration",
            "Developer workflow support"
        ],
        "limitations": [
            "Capabilities depend on product version, integration context and access tier.",
            "Public behavior can change as the provider updates models, policies and interfaces."
        ],
        "tags": [
            "Ragas",
            "Developer Platform",
            "Documented AI",
            "RAG"
        ],
        "timeline": [
            {
                "date": "2023",
                "title": "Ragas public reference",
                "description": "Ragas is publicly documented in relation to Ragas."
            }
        ],
        "relationships": [
            {
                "target": "Ragas Project",
                "type": "Creator or Developer",
                "description": "Ragas Project is identified as a creator, developer or originating actor for Ragas.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Ragas official reference",
                "url": "https://docs.ragas.io/",
                "source_type": "Official Documentation",
                "verification_status": "verified"
            }
        ]
    }
}
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