Explore advanced techniques for enhancing vector search capabilities by incorporating metadata awareness into embeddings in this 50-minute webinar. Discover how hybrid search, metadata boosting, and re-ranking strategies build upon the foundation of vector search to handle richer data requirements beyond semantic meaning alone. Learn to leverage relational, numerical, spatial, categorical, and temporal context that traditional vectors may not capture independently. Examine the trade-offs between latency, recall, and cost when implementing these enhancement techniques. Understand how to solve more complex retrieval problems directly within both dense and sparse embeddings, pushing vector search capabilities to new levels of sophistication and effectiveness for modern search systems.