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CodeSignal

Text Representation Techniques for RAG Systems

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Overview

Learn practical text‐representation methods for RAG systems: why representation matters, Bag-of-Words vs. semantic embeddings, visualizing embeddings with t-SNE, and comparing their performance in document retrieval and semantic search.

Syllabus

  • Unit 1: Text Representation Techniques for RAG Systems
    • Text Preprocessing with Bag-of-Words
    • Building a Vocabulary Dictionary in JavaScript
    • Bag-of-Words Vectorization in JavaScript
    • Bag-of-Words Vectorization in JavaScript
  • Unit 2: Generating and Comparing Sentence Embeddings in JavaScript
    • Generating and Exploring Sentence Embeddings in JavaScript
    • Implementing Cosine Similarity for Sentence Embeddings in JavaScript
    • Identify Most Similar Sentence Pair Using Cosine Similarity
    • Adding and Comparing Sentences with Cosine Similarity in JavaScript
    • Sentence Similarity Ranking with Embeddings
  • Unit 3: Visualizing Sentence Embeddings with t-SNE in JavaScript
    • Visualizing Sentence Embeddings with t-SNE in JavaScript
    • Troubleshoot and Refine t-SNE Embeddings Visualization in JavaScript
    • Add a New Category to Sentence Embeddings Visualization Task
  • Unit 4: Comparing Bag-of-Words and Embedding-Based Search in JavaScript
    • Bag-of-Words Vectorization in JavaScript
    • Enhancing Bag-of-Words with Bigrams in JavaScript
    • BOW Search Implementation in JavaScript
    • Embedding-Based Semantic Search in JavaScript

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