Learn how to combine filtering, full-text search, distance thresholds, and hybrid techniques to build more advanced vector search queries.
Overview
Syllabus
- Unit 1: Combining Multiple Filters with Vector Search
- Filtering and Ranking with Vectors
- Advanced Filtering with Vector Search
- Experimenting with Search Filters
- Unit 2: Full-Text Search Combined with Vector Similarity
- Adding Keyword Filters to Searches
- Adapting Search for New Topics
- Unit 3: Distance Inspection and Ranking Explanation
- Inspecting Distance in Search Results
- Distance Ranking in Filtered Queries
- Unit 4: Extracting Cosine Similarity Scores with pgvector
- Cosine Similarity in Product Search
- Filtering Results by Similarity Score
- Comparing Similarity and Distance Scores