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Foundations 89
All Foundations89AI basics25How language models work23AI safety and ethics49
Everyday AI 91
All Everyday AI91Prompting20ChatGPT and Claude at work25AI for writing29AI for research and study33
Building with AI 162
All Building with AI162Python for AI21Building with LLM APIs30RAG and search21Evaluation and testing21AI agents31AI automation25AI coding assistants30
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All Machine learning149Machine learning35Data science and statistics30Math for AI23Deep learning28NLP14Computer vision14Fine tuning and training12MLOps and deployment18
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All AI at work145AI for business34AI for marketing and sales23AI for product and operations28AI for education28AI for professionals29AI careers18
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RAG and search Clear all
Evaluating Retrieval Quality

Evaluating Retrieval Quality

Measure whether your retrieval finds the right passages with real queries, relevance labels and the right metrics.AdvancedEvaluation and testing4.7(3)75 lessonsSampleFumiko Arai$11Image embeddings and visual search

Image embeddings and visual search

Build image similarity and text to image search, and measure whether results are actually relevantIntermediateComputer vision4.7(3)71 lessonsSampleNoor Siddiqui$7RAG Explained for Non Engineers

RAG Explained for Non Engineers

Understand how AI assistants answer from company documents, what can go wrong and what to ask your team.All levelsRAG and search4.7(3)66 lessonsSampleEmeka NwosuFreeVector Databases for Beginners

Vector Databases for Beginners

Learn what a vector database does, when you need one and how to choose without falling for marketing.BeginnerRAG and search4.3(3)63 lessonsSampleEmeka Nwosu$4Fine tune, prompt or retrieve?

Fine tune, prompt or retrieve?

Choose between prompting, retrieval and fine tuning for your problem, and know whyAll levelsFine tuning and training4.7(3)59 lessonsSampleNeha VaradanFreeYour First RAG Pipeline, End to End

Your First RAG Pipeline, End to End

Build a small retrieval augmented chatbot over your own documents, step by step, and see where it fails.BeginnerBuilding with LLM APIs4.7(3)59 lessonsSampleEmeka NwosuFreeMetadata Filters and Permission Aware Retrieval

Metadata Filters and Permission Aware Retrieval

Filter retrieval by date, product or tenant and make sure users only ever retrieve what they may see.AdvancedRAG and search4.7(3)57 lessonsSampleEmeka Nwosu$11Question answering, from extractive to generative

Question answering, from extractive to generative

Understand how QA systems find, read and generate answers, and how to tell when they should abstainIntermediateNLP4.7(3)56 lessonsSampleMateo Rojas$7Debugging a RAG App That Answers Badly

Debugging a RAG App That Answers Badly

Trace each bad RAG answer to its real cause, from missing documents to ignored passages, and fix the most common.IntermediateRAG and search4.7(3)56 lessonsSampleFumiko Arai$8Embeddings Explained for Builders

Embeddings Explained for Builders

Understand what embeddings capture, what they miss and how to use them for search, grouping and matching.BeginnerRAG and search4.5(2)53 lessonsSampleEmeka Nwosu$4Chunking Documents for Retrieval

Chunking Documents for Retrieval

Split documents into retrievable chunks that keep their meaning, then tune chunk size with real measurements.IntermediateRAG and search4.5(2)41 lessonsSampleEmeka Nwosu$6When Retrieval Is the Wrong Tool

When Retrieval Is the Wrong Tool

Decide when RAG fits a problem and when a database query, tool call, longer prompt or plain search fits better.All levelsRAG and search4.5(2)40 lessonsSampleFumiko Arai$5