Explore Think 2026: https://www.ibm.biz/think2026event 

This episode of Techsplainers explores data retrieval, the essential process of accessing information from various data sources. We examine how this field has evolved beyond simple database queries to encompass complex AI-driven techniques. The discussion covers traditional approaches like SQL and indexing alongside modern methods including vector search, natural language processing, and retrieval augmented generation (RAG). We highlight how agentic RAG elevates retrieval capabilities through intelligent decision-making components like semantic caching, routing agents, and query planning. Real-world examples demonstrate impressive efficiency gains across healthcare, financial services, and e-commerce, while we also address challenges including data quality, security concerns, and vendor lock-in. As organizations manage ever-expanding data volumes and AI workloads, sophisticated data retrieval becomes increasingly critical to business success. 

Find more information at https://www.ibm.com/think/topics/data-retrieval 

Find more episodes at https://www.ibm.biz/techsplainers-podcast 

Narrated by Matt Finio