Thanks for the feedback! I wrote an example on how you can use it to create a simple pipeline to scrape wikipedia's daily featured article, chunk it, and store

Thanks for the feedback! I wrote an example on how you can use it to create a simple pipeline to scrape wikipedia's daily featured article, chunk it, and store it in a vector DB using the scheduled cells, then use the HTTP cells to expose an endpoint calling GPT with RAG using the vector DB (https://docs.neutrinolabs.dev/example-up-to-date-chatbot https://docs.neutrinolabs.dev/example-up-to-date-chatbot). Any specific use cases you had in mind? And I agree, the deployment point is super important, its in the works!