Results for “rag evaluation”

• ONTAP MCP Serverby NetAppOperate ONTAP storage through approved AI-agent toolsUnknownWatch
• Harvest MCP Serverby NetAppGive AI agents access to storage telemetry and trendsUnknownWatch
• Haystackby deepsetOpen-source Python framework for building RAG, agent, and multimodal LLM applicationsFreemiumWatch
• BrowserOSby BrowserOSYC S24An open-source browser with built-in AI agentsPay as you goWatch
• Google Cloud NetApp Volumes MCP Serverby NetAppManage Google Cloud NetApp Volumes from AI clientsUnknownWatch
• NetApp DataOps Toolkit MCP Serversby NetAppExpose dataset and workspace operations to AI agentsUnknownWatch
• CARBON by Testers.aiby testers.aiAI-assisted software testing harness for coding agentsFreeWatch
• Milvusby ZillizOpen-source vector database for large-scale AI search and retrievalFreemiumWatch
• IBM Langflowby IBMVisual builder for AI agent workflows, extensible in PythonUnknownWatch
• Akkaby AkkaAgentic AI platform for building resilient, governed AI servicesUnknownWatch
• Strands Agentsby AmazonOpen source toolkit for building AI agent harnesses in Python and TypeScriptFreeWatch
• Supabase MCP Serverby SupabaseYC S20Connect AI assistants to your Supabase projects through MCP.UnknownWatch
• Kino AIby Kino AIYC S23AI video editor and footage library for teams and agents.FreemiumWatch

That’s all 13 tools.

Ask this in Claude or ChatGPT next time

Add Orca to your assistant once. Then ask “rag evaluation” there, and it checks these same records.

Add to ClaudeOpens Claude · Continue, then AddAdd to ChatGPTNot in ChatGPT’s plugin directory yet · see how