Elasticsearch Vector Database - Introduction to Vector Search and HNSW Algorithm

A technical presentation explores the evolution and capabilities of Elasticsearch as a vector database, focusing on its journey from a distributed search engine to a sophisticated platform supporting AI and vector search functionalities. Learn how Elasticsearch combines various data types and formats to enhance search relevance, with detailed explanations of the hierarchical navigable small worlds (HNSW) algorithm and its role in optimizing vector search performance. Discover the technical implementation details of vector search, including memory management, vector compression techniques, and practical API usage for creating and managing vector representations. Gain insights into hybrid search approaches that merge keyword and vector search capabilities, along with the integration of traditional filters and role-based access control. Follow along with a live demonstration that showcases the setup and practical application of vector search in Elasticsearch, emphasizing its versatility in handling complex search queries and its integration with models from platforms like Hugging Face.