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Talk Beginner Apache-2.0 license

Building a search engine with vector's and Open Search

Approved
Session Description

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

Key Takeaways

  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

References

https://www.youtube.com/watch?v=zcVJjLMXQvk

Session Categories

Tutorial about using a FOSS project
Talk License: Apache-2.0 license

Reviews

Helping find truly open source embeddings can be difficult, addressing this challenge and what is available will be helpful to give people understanding in the ever-changing AI landscape

Reviewer #1 Approved