This course focuses on advanced semantic search techniques in ChromaDB, including multi-query expansion, hybrid retrieval (combining different search strategies), reranking techniques, and improving search relevance beyond basic vector similarity.
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
- Enhance Search with Metadata Filters
- Validate Sports Category Retrieval
- Unit 3: Reranking Search Results for Better Accuracy
- Cosine Similarity in Action
- Rerank Documents by Relevance
- Query-Based Document Reranking
- Unit 4: Handling Multi-Field Search with ChromaDB
- Refine Multi-Field Search Queries
- Refine Search with ChromaDB
- Refine Search with Date Filter
- Refine Search with Logical Operators
- Metadata Filtering with In Operator
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