Learn to enhance semantic search pipelines and Retrieval Augmented Generation through a hands-on tutorial that demonstrates transforming dense embedding pipelines into hybrid solutions. Explore Qdrant 1.10's new search modes, including multiple vector representation support for late interaction models like ColBERT. Follow along with practical examples using the universal search endpoint to implement various search modes and reranking steps. Perfect for search engineers, RAG application developers, and LangChain indexing users, this hour-long workshop provides access to workshop materials through GitHub for implementing advanced hybrid search capabilities.