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deepeval 开源项目推荐(257 个)
deepeval 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 257 个仓库Learn GenAI and Agentic AI from Zero to Production
26-framework SDET monorepo: Playwright, Selenium, Cypress, Cucumber, Postman, FastAPI, Pact, AI/LLM eval (DeepEval), agentic AI (LangChain, LangGraph, DSPy, Claude), k6, flakiness detection, site monitoring, failure triage, QMS evidence (ISO 9001/SOC 2), dependency audit · GitHub Actions · DataDog · Terraform IaC
Advanced RAG pipelines for medical (HealthBench, MedCaseReasoning, MetaMedQA, PubMedQA) and financial (FinanceBench, Earnings Calls) QA. LangGraph orchestration + BAML structructed generation, Milvus Hybrid search (Dense + BM25 + RRF), three-layer Metadata Enrichment, Contextual AI instruction-following reranker, and DeepEval evaluation.
Advanced RAG pipeline optimization framework using DSPy. Implements modular RAG pipelines with Query-Rewriting, Sub-Query Decomposition, and Hybrid Search via Weaviate. Automates prompt tuning and few-shot selection using GEPA, SIMBA, MIPRO, COPRO, and BootstrapFewShot optimizers on datasets like FreshQA, HotpotQA, TriviaQA, Wikipedia and PubMedQA.
An example that combines Behave (BDD testing) with DeepEval (LLM evaluation) to create human-readable, stakeholder-friendly tests for AI Agents / chatbots.
Universal Agent Evaluation Framework (UAEF) is a framework-agnostic evaluation system for AI agents. Invoke any agent and score it on multiple metrics spanning tool calling, response quality, safety, performance, and reasoning. Track experiments against baselines, catch regressions automatically, and get LLM-generated insights.
🚀 Production-ready modular RAG monorepo: Local LLM inference (vLLM) • Hybrid retrieval with Qdrant • Semantic caching • Docling document parsing • Cross-encoder reranking • DeepEval evaluation • Full observability with Langfuse • Open WebUI chat interface • OpenAI-compatible API • Fully Dockerized
Agent 测试转型手册:资深自动化测试工程师的 AI QE 学习路径 + 练手代码
Self-Reflective Question Answering for Biomedical Reasoning. GRPO fine-tuning via QLoRA & Unsloth with rewards for correctness, relevance, groundness, utility & XML structure. Structured think → answer → self-reflection with context grading, relevance assessment & groundness evaluation. DeepEval LLM-as-a-Judge (GEval, Faithfulness, Relevancy).
面向开发者的中文 Eval Harness 源码教材:解析 lm-evaluation-harness、Inspect AI、OpenAI Evals、Promptfoo、DeepEval 与 Harbor,覆盖任务、运行、评分、统计与发布门禁。
Multi-agent LangGraph app turning raw requirements into backlog-ready user stories, ACs, and test cases. Live Gemini-Flash CI eval gate + nightly N=10 adversarial regression.
Production-grade prompt engineering curriculum — 7 modules covering foundations, reasoning, RAG, security, and evaluation. Model-agnostic (OpenAI/Anthropic/Ollama), runnable notebooks, mini-projects, Mermaid diagrams. Not prompt tips — prompt engineering as a discipline.
AI research assistant for prosthetics, orthotics & rehabilitation robotics papers. RAG pipeline with streaming citations, structured summaries, terminology extraction, and paper comparison. Built with Next.js 15, Claude, pgvector. Includes observability tracing and DeepEval evaluation pipeline.
Automated, production-grade CI/CD evaluation pipeline for Hugging Face chatbots using DeepEval and dynamic JSON test datasets.
TermDraw-Bench: a benchmark for whether LLMs and VLMs can generate and edit structured ASCII diagrams. 80 tasks across 4 categories, scored by a DeepEval LLM judge.
RAG assistant for accurate, cited search over credential/certificate documents — built with formal evaluation and hallucination-resistant retrieval
Pytest plugin that records, gates and tracks your LLM evals in the CI you already have.
BNS-LexAI is an AI-powered legal information and case understanding assistant.
该项目在 GitHub 上没有填写描述
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/deepeval。
- 该话题在 GitHub 上共有 257 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 431 Star,覆盖 3 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。