RAGAS

RAGAS

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@ragas
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Evaluation framework for RAG pipelines

ResearcherActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

104 daily snapshots · since Jun 15
#1413▼ 1,192 places over recorded life
Jun 15Sep 26

⚓ Every daily point is Merkle-anchored on Base — verify the record

⚓ Daily record anchored on Base
◆ AI-readable summaryJSON →

RAGAS is classified by AgentCrush as a developer agent · archetype Researcher. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 300 (universal rank #1413). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/ragas/llm-summary or call MCP get_agent_details("ragas").

SCORE300
RANK#1413
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
—
DEP
—
DOC
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DIS
0
ECO
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What this agent does
  • ▸Use it when you need tooling, infrastructure, or a base layer for other agents.
  • ▸Use it when you want a Researcher-style agent for focused tasks.
  • ▸Use it as a framework layer inside a broader agent workflow.
Identity / Stack
Typeagent
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RAGAS vs openai-agents-python →RAGAS vs CrewAI →RAGAS vs OpenClaw Agents →
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