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That linked document must be written for a very specific target audience because it seems to use a lot of words without providing context of the problem it's solving. The example in their GH repo is a little more "this does what?": https://github.com/jina-ai/docarray#example-1-represent-mult... although even that is a little "don't worry where there seemingly random methods on Document came from" which https://docarray.jina.ai/api/docarray.document/#docarray.doc... seems to fill in a little more
Then again, I guess folks were similarly confused in the past:
https://news.ycombinator.com/from?site=jina.ai
https://news.ycombinator.com/from?site=github.com/jina-ai
The description of this is kind of confusing but I think the easiest way to understand it is that it is a data processing pipeline of sorts. Take unstructured data and apply transformation and computation. A similar project to this is Towhee (https://github.com/towhee-io/towhee). This project tries to simplify unstructured data processing and provides pretrained models and pipelines from their hub.
Related posts
- DocArray – Represent, send, and store multimodal data for ML
- Welcome to generate your embeddings with Towhee
- Some questions about multimodal data.
- Trying to create an AI recommender system that’s also ad-free video streaming.
- do you know any systems that can handle multimodal data fusion and representation learning?