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Engineering Retrieval Augmented Generation Applications for the Enterprise with Pinecone

Roie, a Staff Developer Advocate at Pinecone, shows you how to build an enterprise-quality RAG application.
Roie Schwaber-Cohen
Roie Schwaber-Cohen

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Retrieval Augmented Generation is a critical component of search and chatbots. By using vector databases like Pinecone, you can retrieve facts to improve the quality of your results. In an enterprise scenario, there are more considerations. Where you put your data, how you control access, and how you monitor the quality of your results all become essential.

In this session, Roie, a Staff Developer Advocate at Pinecone, shows you how to build an enterprise-quality RAG application. You'll build a simple application while learning about enterprise RAG architecture: how to use namespaces, how to control access to your data, and how to measure performance.

Key Takeaways:
  • Learn how to create a simple RAG application using Pinecone.
  • Learn how to architect your application to make it enterprise-ready.
  • Learn how to use Pinecone tools to manage data privacy and access control.

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Machine LearningArtificial IntelligenceData Scientist

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