Learn how DataStax transformed customer feedback into a hybrid search solution that powers Fortune 500 companies through their partnership with AWS.

Topics Include:

• AWS and DataStax discuss how quality data powers AI workloads and applications.
• DataStax built on Apache Cassandra powers Starbucks, Netflix, and Uber at scale.
• Their TIL app collects outside-in customer feedback to drive product development decisions.
• Hybrid search and BM25 kept trending in customer requests for several months.
• Customers wanted to go beyond pure vector search, not specifically BM25 itself.
• Research showed hybrid search improves accuracy up to 40% over single methods.
• ML-based re-rankers substantially outperform score-based ones despite added latency and cost.
• DataStax repositioned their product as a knowledge layer above the data layer.
• Developer-first design prioritizes simple interfaces and eliminates manual data modeling headaches.
• Hybrid search API uses simple dollar-sign parameters and integrates with Langflow automatically.
• AWS PrivateLink ensures security while Graviton processors boost efficiency and tenant density.
• Graviton reduced total platform operating costs by 20-30% with higher throughput.

Participants:

• Alejandro Cantarero – Field CTO, AI, DataStax
• Ruskin Dantra - Senior ISV Solution Architect, AWS, Amazon Web Services

See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/