What AI says about DeepEval
DeepEval is a framework for testing large language model systems that includes metrics for evaluating hallucinations, faithfulness, relevancy, and bias.
AI calls itopen-source,developer-first,pytest-style,code-first,python-native,pytest-native
Since Jul 5Updated Nov 11, 2026Based on 17,799 AI answers
Reviewed by Dimitry Apollonsky
Mentioned in · Public index
5%
of AI answers about DeepEval and its rivals · since Jul 5
Based on 17,799 AI answers
- ChatGPT5%
- Google AI Mode6%
How often AI mentions DeepEval
of AI answers about DeepEval and its rivals
Track your brand free to see 13 weeks of history.
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Sep 14OctNov 2
- · ChatGPT switched to GPT-6 Luna
Markets where AI mentions DeepEval
Mentioned inLowHighFew answers
All marketsChatGPTGoogle AI Mode
- LLM Observability and Evaluation PlatformsChatGPTGoogle AI Mode
- LLM Output Monitoring PlatformsGoogle AI Mode
- Prompt Management & Evaluation PlatformsGoogle AI Mode
- AI Marketing Copywriting and Brand GovernanceGoogle AI Mode
- Grounded Customer Support ChatbotsOutside both engines’ top 25
- AI Red Teaming ServicesOutside both engines’ top 25
- Embedding Model APIs and ServicesOutside both engines’ top 25
- LLM Agent Frameworks and ToolingOutside both engines’ top 25
- LLM Observability & Tracing PlatformsOutside both engines’ top 25
- Vector Database PlatformsOutside both engines’ top 25
- Synthetic Data Generation PlatformsOutside both engines’ top 25
- RLHF Data Collection & Training PlatformsOutside both engines’ top 25
Topics where AI mentions DeepEval
TopicMentioned in · on this topicRank
- RAG retrieval visualization tool
- Multi-step stateful task management
- Style and tone alignment monitoring
- Synthetic dialogue data
- LLM model benchmarking
- Prompt evaluation and performance monitoring platforms
- Chatbot output guardrails
- Agent tracing and monitoring
- Automated red teaming suites for prompt injection testing
- Advanced RAG retrieval strategies
- LLM observability and prompt tracing
- Prompt analytics tool for identifying themes and failures
- LLM output drift detection
- Prompt A/B testing in production
- Conversational AI agent framework
- Human-in-the-loop task orchestration
- Automated AI red teaming
- Production prompt A/B testing platform
- Adversarial AI testing services
- Model A/B testing and canary deployment platform
- Web research agent frameworks
- RAG pipeline development platform
- PII redaction for LLM pipelines
- Most mentionedMentioned in
- We cannot assess the factual accuracy of our LLM's outputs at scale. Who offers "LLM-as-a-judge" evaluation frameworks?on this questionDeepEval shares the lead for mentions with 2 more93%
Excerpts where DeepEval appeared in the AI's answer
Google AI ModeOct 29, 2026, Google AI Mode DeepEval (by Confident AI): An open-source, pytest -compatible evaluation framework
Google AI ModeSep 25, 2026, Google AI Mode DeepEval (by Confident AI): An open-source, Python-native evaluation framework
- I need to evaluate the quality of my RAG system's answers. What's the best LLM evaluation framework for RAG?on this questionRagas shares the lead for mentions with 1 more100%
Excerpts where DeepEval appeared in the AI's answer
ChatGPTNov 11, 2026, ChatGPT Choose DeepEval if you want a more comprehensive testing framework that integrates with CI/CD.
ChatGPTNov 5, 2026, ChatGPT DeepEval – Best for automated testing, regression detection, and CI/CD.
DeepEval in AI answers
1 of 8
We want to create a comprehensive test suite for our production LLM prompts. What's the best framework for prompt unit testing and integration testing?
ChatGPTChatGPT· Nov 5, 2026
My leading candidates are Promptfoo, DeepEval, LangSmith, and Braintrust.
Google AI ModeGoogle AI Mode· Oct 30, 2026
DeepEval (by Confident AI) — Best Pytest-native Unit Testing Framework
Sites AI cites
- Your site42%
- Top 5 LLM Evaluation Frameworks in 2026, Compared | DeepEval - The LLM Evaluation Framework (opens in a new tab) · 7%Lists DeepEval
- DeepEval - The LLM Evaluation Framework (opens in a new tab) · 7%Lists DeepEval
- Introduction to DeepEval | DeepEval - The LLM Evaluation Framework (opens in a new tab) · 3%Lists DeepEval
- Introduction to Synthetic Data Generation | DeepEval - The LLM Evaluation Framework (opens in a new tab) · 3%Lists DeepEval
- RAG Evaluation | DeepEval - The LLM Evaluation Framework (opens in a new tab) · 3%Lists DeepEval
- LLM-as-a-Judge in 2026: Top evaluation techniques and best practices | DeepEval - The LLM Evaluation Framework (opens in a new tab) · 2%Lists DeepEval
- RAG Evaluation Quickstart | DeepEval - The LLM Evaluation Framework (opens in a new tab) · 1%Lists DeepEval
- Introduction to LLM Evaluation Metrics | DeepEval - The LLM Evaluation Framework (opens in a new tab) · 1%Lists DeepEval
- AI Agent Evaluation | DeepEval - The LLM Evaluation Framework (opens in a new tab) · 1%Lists DeepEval
- Generate Synthetic Test Data for LLM Applications | DeepEval - The LLM Evaluation Framework (opens in a new tab) · 1%Lists DeepEval
- Lists DeepEval on 1 of 1 page5%
- The 100% EASIEST Way to Test LLMs & AI Agents ... (opens in a new tab) · <1%
- Generate Synthetic Data for Fine-tuning or RAG Evaluation | Open Soruce ! (opens in a new tab) · <1%
- Top 3 RAG Evaluation Frameworks: RAGAS, DeepEval, and Opik (opens in a new tab) · <1%
- 06: Top 18 LLM Observability Tools to Monitor & Evaluate AI Agents (2026 Guide) (opens in a new tab) · <1%Lists DeepEval
- LLM & RAG Evaluation Playbook for Production Apps by Paul ... (opens in a new tab) · <1%
- Evaluating your RAG Chat App (opens in a new tab) · <1%
- Top 3 RAG Evaluation Frameworks: RAGAS, DeepEval, and Opik (opens in a new tab) · <1%
- Top 5 AI Agent Evaluation Tools (2025): Maxim AI, Langfuse, ... (opens in a new tab) · <1%
- A Deep Dive Into Automated RAG Evaluation with open-rag-eval (opens in a new tab) · <1%
- Evaluating RAG Applications in Minutes Using RAGAs! (opens in a new tab) · <1%
- Lists DeepEval on 1 of 1 page3%
- DeepEval (opens in a new tab) · 1%
- Top 7 LLM Evaluation Tools in 2026 - Confident AI (opens in a new tab) · 1%
- LLM Evals Framework That Predicts ROI: A Step-by-Step Guide (opens in a new tab) · <1%
- 10 Best AI Evaluation Tools for Testing & Improving AI Applications in 2026 - Confident AI (opens in a new tab) · <1%
- Confident AI: Enterprise AI Evaluation & Observability Platform (opens in a new tab) · <1%Lists DeepEval
- Evaluating LLM Systems: Essential Metrics, Benchmarks, and Best Practices - Confident AI (opens in a new tab) · <1%
- G-Eval Simply Explained: LLM-as-a-Judge for LLM Evaluation (opens in a new tab) · <1%
- LLM Evaluation Metrics: The Ultimate LLM Evaluation Guide - Confident AI (opens in a new tab) · <1%
- An Introduction to LLM Benchmarking (opens in a new tab) · <1%
- LLM-as-a-Judge Simply Explained: The Complete Guide ... - Confident AI (opens in a new tab) · <1%
- Lists DeepEval on 2 of 2 pages3%
- GitHub - confident-ai/deepeval: The LLM Evaluation Framework · GitHub (opens in a new tab) · 2%Lists DeepEval
- GitHub - aglio-lab/ai-evaluation-tools: The comprehensive list of AI evaluation tools: 300+ open-source and commercial LLM evaluation frameworks, platforms, benchmarks, observability, red teaming, and guardrails — for LLMs, RAG, and AI agents. · GitHub (opens in a new tab) · <1%Lists DeepEval
- aidotse/LeakPro - GitHub (opens in a new tab) · <1%
- deepeval/docs/content/guides/guides-ai-agent-evaluation.mdx at main · confident-ai/deepeval · GitHub (opens in a new tab) · <1%
- deepeval/docs/guides/guides-rag-evaluation.mdx at main · confident-ai/deepeval · GitHub (opens in a new tab) · <1%
- What kind of implementation is the agent in dify? Where can I see the source code? · langgenius dify · Discussion #25002 (opens in a new tab) · <1%
- ai-system-design-guide/ai_evals_comprehensive_study_guide.md at main · ombharatiya/ai-system-design-guide · GitHub (opens in a new tab) · <1%
- GitHub - ServiceNow/eva: A New End-to-end Framework for Evaluating Voice Agents · GitHub (opens in a new tab) · <1%
- Lists DeepEval on 1 of 1 page3%
- Lists DeepEval on 1 of 1 page2%
- Medium (opens in a new tab) · <1%Lists DeepEval
- How to Evaluate LLM Applications with DeepEval— Part 2 | by Gary Sharpe | The Model Observer (opens in a new tab) · <1%
- This article explains reference-free LLM evaluation using QAG for facts and a "Jury of Judges" for subjective quality. (opens in a new tab) · <1%
- Run Your Own AI Employee 24/7 with OpenClaw | by Dextra Labs (opens in a new tab) · <1%
- Testing Retrieval-Augmented Generation (RAG): A Practical Guide for QA Engineers | by Generativeaitechshila | Medium (opens in a new tab) · <1%
- Top Tools for AI Evaluation in 2026: A Comprehensive Guide | by Kamyashah | Medium (opens in a new tab) · <1%
- Automating RAG Evaluation: What Every AI Engineer Should Know (opens in a new tab) · <1%
- Evaluating GenAI with DeepEval. I have spent years building test… | by Kundapura Smitha (opens in a new tab) · <1%
- OpenSource Model Eval LLM Techniques: DistilBERT model, Up train, Deep eval, etc (opens in a new tab) · <1%
- Medium (opens in a new tab) · <1%
- Lists DeepEval on 1 of 1 page2%
- Top 5 LLM Evaluation Platforms in 2026 (opens in a new tab) · 1%
- Top 5 AI Agent Evaluation Platforms in 2026 (opens in a new tab) · 1%
- Best AI Evaluation Tools in 2026: Top 5 picks (opens in a new tab) · <1%
- Top 5 AI Evaluation Platforms in 2026 - Maxim AI (opens in a new tab) · <1%
- Top 5 Tools for Evaluating LLM-Powered Applications (opens in a new tab) · <1%
- Top 5 RAG Evaluation Platforms in 2026 (opens in a new tab) · <1%
- Top 5 Tools to Evaluate RAG Performance in 2026 (opens in a new tab) · <1%Lists DeepEval
- Lists DeepEval on 1 of 1 page2%
- Top 6 Open Source LLM Evaluation Frameworks : r/LLMDevs (opens in a new tab) · 1%Lists DeepEval
- Every week this we see some version of "how do I evaluate my LLM app?" and the answer almost always stops at RAGAS or DeepEval. Here is the part of the evaluation stack most tutorials skip in 2026. (opens in a new tab) · <1%
- Reddit - Prove your humanity (opens in a new tab) · <1%
- How do you prepare evaluation datasets? : r/AIEval - Reddit (opens in a new tab) · <1%
- Top LLM Evaluation Platforms: Features and Trade-offs (opens in a new tab) · <1%
- LLM as a Judge, What platforms to use? (opens in a new tab) · <1%
- Open-Source Library to Generate Realistic Synthetic Conversations to Test LLMs (opens in a new tab) · <1%
- Open-source embedding models: which one's the best? (opens in a new tab) · <1%
- Lists DeepEval on 2 of 2 pages2%
