Building a search engine with vector's and Open Search

Search is no longer just about matching keywords modern applications need to understand meaning. From e-commerce to chatbots, recommendation engines to documentation search, AI powered vector search is redefining how information is discovered.

This session dives into how to build your own search engine using
1. Vector embeddings for semantic understanding
2. BM25 keyword search for precision
3. Hybrid Search in OpenSearch that combines the strengths of both

1. Understanding the Basics of Modern Search

2. The Limits of Vector Search

3. How BM25 Works

4. Why Hybrid Search is the Future

5. Building a Search Engine in OpenSearch

6. Real-World Use Cases