Dev Interrupted The timelessness of vector databases | Pinecone’s Ram Sriharsha
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Oct 14, 2025 Ram Sriharsha, CTO of Pinecone and expert on vector databases and AI infrastructure, dives into the vital role of vector databases in today's AI landscape. He emphasizes that search is central to AI, guiding listeners on starting with Retrieval-Augmented Generation (RAG) applications while implementing evaluation frameworks to manage AI hallucinations. Ram highlights the importance of curiosity and generalist engineers in leveraging AI effectively, urging leaders to build AI frameworks pragmatically and iteratively for better results.
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Search Is The Core Of AI
- At the core of modern AI applications is search, and vectors power that search.
- Vector databases are the foundational layer for scaling retrieval in agentic and generative systems.
Externalize Knowledge For Control
- Externalizing knowledge into a searchable store enables auditing, redaction, and security.
- That control makes vector databases non-negotiable for production agent systems.
Start With RAG And Eval Frameworks
- Start building RAG-based assistants to externalize knowledge and iterate quickly.
- Immediately implement guardrails and an evaluation framework to manage hallucinations and quality.