Getting Started with Vector Search in Elastic
Welcome to Getting Started with Vector Search in Elastic. In this chapter, we will understand the fundamental paradigm of search with Elastic and how vector search has emerged as a powerful tool for real-time, context-aware, accurate information retrieval.
In this chapter, we are going to cover the following topics:
- Search experience in Elastic before the addition of vector search
- The need for new representations such as vectors and Hierarchical Navigable Small World (HNSW)
- A new vector data type
- Different strategies to configure the mapping and challenges of storing vectors, getting a better perspective on how to optimize its implementation
- How to build queries including brute force, k-nearest neighbors (kNN), and exact match as a resource
Whether you are a seasoned Elastic user or just getting started, this chapter will provide valuable insights into the power of vector search in Elastic. Let’s...
