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CodeSignal

Implementing Semantic Search with Qdrant

via CodeSignal

Overview

This course focuses on **advanced semantic search techniques** in Qdrant, including multi-query expansion, hybrid retrieval using payload filtering, reranking strategies, and improving semantic relevance.

Syllabus

  • Unit 1: Understanding Similarity Search with Cosine Similarity
    • Encoding Texts for Similarity Calculation
    • Calculating Text Similarity with Cosine
    • Filtering Texts with Cosine Similarity
  • Unit 2: Hybrid Retrieval: Combining Metadata and Vector Search
    • Hybrid Search with Qdrant for Ambiguous Queries
    • Hybrid Retrieval with Semantic Search and Metadata Filtering Using Qdrant
  • Unit 3: Reranking in Semantic Search
    • Cosine Similarity in Action
    • Rerank Documents by Relevance
    • Query-Based Document Reranking
  • Unit 4: Multi Field Search Techniques
    • MultiField Search with Qdrant
    • Refining Multi-Field Search Queries
    • Refining Hybrid Search with Date Filter
    • Multi-field Search with Logical OR Filtering

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