Tutorials Projects

RAG-based Search System Project

RAG project: ingest documents, embed vectors, semantic search, and grounded answers with citations.

10 lessons Advanced Free

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RAG-based Search System Project tutorial

Course contents

RAG Foundations

1 What is RAG and When to Use It 5 min 2 Embeddings and Vector Databases Overview 5 min 3 Ingestion Pipeline Design 5 min

Implementation

4 Chunk and Embed Documents 5 min 5 Query: Similarity Search 5 min 6 LLM Answer with Retrieved Context 5 min 7 Evaluate RAG Quality (faithfulness) 5 min

Production

8 Caching and Refresh Strategies 5 min 9 Deploy RAG API 5 min 10 RAG Project Interview Questions 5 min

Test your knowledge

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