Workshop: Agentic AI for Semantic Search | Future of Data and AI | Agentic AI Conference

Why It Matters

The workshop signals Pinecone’s push to position its vector database as foundational infrastructure for agentic AI and retrieval-augmented systems, helping reduce integration friction for developers and accelerating enterprise adoption. By offering a low-friction, hands-on pathway, Pinecone aims to grow its developer ecosystem and capture demand for scalable semantic search and agent tooling.

Summary

Pinecone hosted a three-hour workshop titled “Agentic AI for Semantic Search” that walked developers through the theory and hands-on construction of agent-driven semantic search applications. Hosts from Pinecone introduced agentic AI concepts, detailed Pinecone’s vector database architecture and differentiators, and guided attendees through a browser-based, modular coding lab without local installs. The session included account setup, demos, step-by-step exercises, and a limited Q&A with Pinecone engineers and developer advocates standing by to troubleshoot. Organizers emphasized practical outcomes: attendees would leave able to build and deploy retrieval-augmented agent workflows using Pinecone’s platform.

Original Description

The goal of this workshop is to provide participants with practical skills and hands-on experience in building Agentic AI for Semantic Search applications using Pinecone. During the session, attendees will:

- Learn the fundamentals of vector database concepts and Pinecone architecture.

- Gain hands-on experience building an end-to-end Agentic Retrieval-Augmented

- Generation (RAG) chat application using Pinecone alongside AWS services.

#agenticaiconference #pinecone

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