Multi-attribute semantic search

[AndreyPikunov]

Add new article: Multi-attribute search with vector embeddings

This article explores advanced techniques for multi-attribute vector search, comparing a naive approach with the more effective Superlinked method. Key points:

• Demonstrates limitations of searching attributes separately
• Showcases the power of combining weighted attribute vectors
• Uses a D&D monster dataset to illustrate concepts
• Provides code examples for both approaches
• Explains how to implement attribute weighting

The article aims to help developers create more powerful and flexible search systems for complex, multi-faceted queries.