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Better Semantic Search with Hybrid Sparse-Dense Search - Haystack US 2023

Offered By: OpenSource Connections via YouTube

Tags

Semantic Search Courses Pinecone Courses Vector Search Courses Information Retrieval Courses TF-IDF Courses BM25 Courses

Course Description

Overview

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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.

Syllabus

Haystack US 2023 - Roie Schwaber Cohen: Better Semantic Search with Hybrid (Sparse-Dense) Search


Taught by

OpenSource Connections

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