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As genAI expands through the enterprise, many leaders are figuring out how to evolve their genAI prototypes into production-ready tools. Pinecone CEO Edo Liberty and LangChain CEO Harrison Chase discuss which parts of the stack to build or buy, how to improve out-of-the-box models by helping customers select and ingest the right data, and picking the right partners to scale genAI applications with a16z Growth General Partner Sarah Wang.

[00:02:16] Navigating the gap from prototype to production
[00:07:03] How to educate partners on genAI tools and capabilities
[00:11:38] Deciding whether to build or buy
[00:17:36] Successful implementations of genAI
[00:21:20] Balancing enterprise and open-source community needs
[00:23:06] Balancing short-term revenue gains with long-term vision
[00:25:18] Picking the right partners to scale

For a transcript of this episode of a16z Live!, click here.

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Episode description

Bringing Production-Ready GenAI to the Enterprise

Episode description