What is Pinecone?

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.

[dipeoluayomide]

Wow, that was really explanatory, thanks a lot for this

[AIMasterGroup]

As promised in the video, here’s a link to the video walk of FAISS through by James Briggs.

James Briggs, Faiss - Introduction to Similarity Search

And here’s a link to the page I showed, comparing 15 different vector databases. The link name says 2023, but it was updated again in 2024.

Best 15 Vector Databases for 2024 [Top Picks]