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As you get ready to implement a generative AI project, you’ll probably start hearing about Pinecone. That’s because you’ll need a vector database, or some other kind of vector alternative as the memory layer, and since Pinecone was an early mover that helped to create the vector database category, you’ll probably hear about them.
In this video, we’ll cover what Pinecone is, and why it’s often a key part of the tech stack for a generative AI project. Along the way, we’ll cover Transformer models, text embeddings, vectors, and vector databases, since all of those fit together to explain the role of Pinecone.
We’ll also cover alternatives to Pinecone, including competitors or other kinds of options, including Weaviate on Kubernetes and also FAISS. Then we’ll cover the key benefits of using a vector database — especially one that is serverless.
OpenAI created quite a stir with its new text-to-video model, Sora, which I’ll demo for you in this video. You’ll quickly understand why filmmaker Tyler Perry decided to scrap an […]
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