examples

Yes - this and to make it easier to understand how you'd use Pinecone at scale. We get a lot of feedback that our many open-source Jupyter notebooks (github.com/pinecone-io/examples) are very helpful for learning new techniques and understanding how patterns work - even for starting new applications. However, we're also often asked how to go from Notebook to prod. The Reference Architecture is a step in the direction of making this easier and more clear.

Thanks for the mention: we've got tons of free content at https://www.pinecone.io/learn and a lot of open-source Notebooks at github.com/pinecone-io/examples which demonstrate techniques from semantic search to question and answering to retrieval augmented generation (RAG) FWIW, our free tier is sufficient to use any of these notebooks or our open source vercel templates - so whether you're a student or just a solo dev looking to learn, you can create a free account and get started and never pay a dime - the one limitation is you can only have one index live at a time - so delete it once you're finished experimenting with a given notebook.

https://github.com/openai/openai-cookbook/blob/main/examples... https://github.com/pinecone-io/examples/blob/master/generati... https://www.pinecone.io/learn/openai-gen-qa/ https://www.youtube.com/watch?v=tBJ-CTKG2dM&t=787s&ab_channe... There are more out there but hopefully this gets you started.