Kaggle Datasets
Kaggle started as a machine learning competition platform and grew into one of the largest open collections of datasets. Members upload data on everything from film ratings to satellite imagery, usually with a description, a preview, and often a few community notebooks showing how to load and explore it.
You can download datasets directly, pull them through the Kaggle API, or work with them inside Kaggle's free hosted notebooks. Files are typically CSV, JSON, or SQLite, so they are easy to drop into a pipeline. For RAG, Kaggle is most useful as a discovery layer: search a topic, find a dataset someone has already tidied up, and reuse the accompanying notebooks to save yourself the cleaning work.
Licences vary from dataset to dataset, so check the terms on each listing before you build on it. Quality varies too, since anyone can upload, but the community ratings and usage counts give you a quick sense of what is worth your time.
Related sources
AWS Data Exchange
A marketplace for finding, subscribing to, and using third-party data inside the AWS cloud. It carries both free open datasets and paid commercial data products, so you can pull licensed data straight into your AWS workflows without setting up separate transfers.
AWS Open Data Registry
A registry of high-value datasets hosted on AWS and made publicly available, covering genomics, geospatial data, climate, satellite imagery, and more. Over 300 PB of data in total, free to access: you pay only for the compute you use to process it.
Datahub.io
A platform for publishing and finding open data packages: datasets bundled with consistent metadata in standardised formats. It hosts curated collections of widely used reference data, from country codes to exchange rates, ready to drop into a pipeline.
Google Dataset Search
A search engine for datasets that indexes millions of them from thousands of repositories worldwide. It does not host data itself: it points you to wherever each dataset lives, which makes it a fast first stop when you are hunting for a source on a specific topic.