Building a Search Engine: Inverted Indexes & TF-IDF
“The fundamentals behind Elasticsearch and Meilisearch: built from first principles. This comprehensive curriculum is designed to give you hands-on experience with Building a Search Engine: Inverted Indexes & TF-IDF.”
About this Course
What you'll learn
Document Processing, Tokenization & Stemming
Master the core concepts of document processing, tokenization & stemming.
Inverted Index Architecture & Postings Lists
Gain hands-on experience with inverted index architecture & postings lists.
Relevance Scoring with TF-IDF & Okapi BM25
Understand the architecture behind relevance scoring with tf-idf & okapi bm25.
Index Updates, Positional Search & Evaluation
Implement production-grade index updates, positional search & evaluation.
Web Crawling and Graph Processing
Build a scalable, polite web crawler and analyze the link graph (PageRank).
Ranking and Query Processing
Implement relevance ranking models like BM25 and optimize query execution.
Learn
Watch curated videos and read study resources
Practice
Practice what you learned
Build Projects
Build projects using your new gained knowledge
Submit & Verify
Submit your project and get verified by our system
References
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