Data quality evaluation with Dingo: run rule-based and LLM-based evaluations and list its rules and prompts.
Setup
This project documents no single launch command; follow its repository instructions.
Dingo
MigoXLab
Related
More- MMandoline MCP ServerMandolineOfficialLets AI assistants evaluate and critique their own outputs using Mandoline's evaluation framework.AI Models & Services4 Repository stars
- AActor-Critic Thinking MCPaquarius-wingAnalyzes performance from two perspectives using an actor-critic approach to give a balanced evaluation.AI Models & Services32 Repository stars
- AMcp Agentlastmile-aiBuild effective agents using Model Context Protocol and simple workflow patternsAI Models & Services8.6k Repository stars
- 欢欢迎来到 智言平台Shy2593666979ChinaAgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。AI Models & Services923 Repository stars
- JJust PromptdislerUnified interface for sending prompts to OpenAI, Anthropic, Google Gemini, Groq, DeepSeek and Ollama models from one MCP server.AI Models & Services739 Repository stars
- DDeepSeek MCP ServerDMontgomery40ChinaLets MCP clients call DeepSeek language models for chat and completions, with model selection and parameter control.AI Models & Services357 Repository stars