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.
Overview
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