Migrate from OpenSearch: Achieve Faster, More Accurate, More Cost-Effective Semantic Search

As semantic search demands grow, many organizations find that OpenSearch wasn't built for semantic search at scale. Join us to learn how Pinecone's purpose-built vector database eliminates the infrastructure complexity, manual tuning, and cost tradeoffs that often come with OpenSearch deployments. We'll demonstrate a complete migration path using AWS services, share real performance benchmarks, and provide a practical roadmap for transitioning your vector workloads. Ideal for teams ready to modernize their search infrastructure.

Agenda

• Introduction & OpenSearch Challenges (15 min): Understand why OpenSearch struggles with vector search at scale—infrastructure demands, manual tuning, and costly recall tradeoffs.
• Why Pinecone? (10 min): Discover how Pinecone's purpose-built architecture delivers superior performance without complexity. See real benchmarks and success stories.
• Migration Framework Overview (20 min): Learn the proven three-phase approach for seamless migration
  • Export data from OpenSearch using AWS OpenSearch Ingestion
  • Transform schemas with AWS Glue
  • Import to Pinecone with validation
• Best Practices & Q&A (15 min): Learn migration tips, avoid common pitfalls, and get your questions answered live.

What You'll Take Away:

✓ Complete migration roadmap
✓ AWS integration code samples
✓ Performance optimization strategies
✓ Direct access to migration experts