Better Semantic Search with Hybrid Sparse-Dense Search - Haystack US 2023
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the advantages of hybrid search in this conference talk from Haystack US 2023. Delve into the world of semantic search as Roie Schwaber Cohen, a staff developer advocate at Pinecone, discusses the combination of sparse and dense embedding models. Learn about the limitations of traditional keyword-based algorithms like TF-IDF and BM25, and discover how dense embedding models enable more natural querying based on semantic meaning. Understand the challenges of using dense models in data-scarce environments with domain-specific terminology. Gain insights into how hybrid search leverages the strengths of both sparse and dense embeddings to enhance vector search accuracy and applicability across various scenarios. Discover practical approaches to building improved semantic search applications using hybrid search techniques.