It is also allowing me to see all relevant associations easily when revealing the card in built in SRS, you add cards to SRS as you browse, so they are related to what you already know / currently exploring.

Mind you, all data visible is collected from different reputable available sources. When you click "explain" there's a clearly marked LLM explanation, but my explanation generation pipeline pushed all generated explanations through 5 different models including all top Chinese-first for verification, and on average it took a few iterations back and forth to iron out any information that could potentially mislead the learner.

You can actually see thousands of words I typed just working on that pipeline here https://hanzirama.com/making-of

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rockluck 4 hours ago | parent [-]

this looks incredible and exactly like something i've been wanting. is there the same amount of depth for the 9k+ characters? if this is open source, id love to build on it;i was wandering if op had posted his on github.

	▲	comboy 19 minutes ago \| parent [-]
		Only about 5K explanations now I'm still trying to polish the pipeline before covering more. Due to all these verification and associated regenerations the cost is quite high. It's not opon source but it is completely free. Open sourcing is on the table but currently it would be additional work and distraction. Just licenses seem like a headache, from a quick poke even when ok for use on non-commercial data redistributing may not be ok. So not any time soon, but if you are working on something similar I can at least share detailed datasources, finding good ones was not easy and LLM integrate them fast.