Elastic Powers GitHub's Seamless Developer Experience

David Tippet, Search Engineer at GitHub, shares how Elastic powers GitHub’s massive search platform and enables a seamless developer experience. He explains how GitHub balances AI-driven semantic search with traditional keyword search, ensuring accuracy for millions of diverse users, from engineers to security researchers.

0:00 - Meet GitHub’s Search Engineer

0:18 - AI & Semantic Search at GitHub

0:45 - Why Keyword Search Still Matters

1:05 - GitHub’s Strategic Objective: Seamless Developer Experience

1:32 - The Challenge of Diverse Users (PMs, Engineers, Security)

2:00 - GitHub’s Massive Indexes & Scaling Issues

2:18 - Elasticsearch Reindex → 20x Faster Ingestion

2:48 - Where Search Appears Across GitHub (Issues, Labels, Boards)

3:15 - Elastic Search Everywhere at GitHub

Additional Resources:
Learn more about semantic search: https://www.elastic.co/what-is/semantic-search
Learn more about Elasticsearch: https://www.elastic.co/elasticsearch

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About Elastic
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.

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