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Getting full-text scientific content into LLMs+Agents is stupidly hard

Show HN: Getting full-text scientific content into LLMs+Agents is stupidly hard

Getting full-text scientific content into LLMs+Agents is stupidly hard is active in the show hn launch space.

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Most APIs don’t return actual content. You get metadata, maybe an abstract, maybe a snippet...never the thing itself. And if you want proper sources like arXiv, PubMed, or major publishers? Good luck. You’re stuck scraping tens of millions PDFs or semantic scholar and building your own ingestion pipeline.We hit this building agentic workflows and RAG backends. What we needed wasn’t “search”, it was a way to retrieve real, structured full text with enough metadata to plug straight into a reasoning system. So we built a system that could do that: multimodal inputs (text, math, figures), clean citations, reference chaining, and filters that work (by date, by source, etc).The hard part wasn’t re

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Website: www.valyu.network/blogs/deepsearch-v2-updates

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