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.
Profile
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
The company sits in the show hn launch segment, where it competes on its core product or service.
Its current recorded stage is Show HN launch.
| Sector | Show HN launch |
|---|---|
| Stage | Show HN launch |
Website: www.valyu.network/blogs/deepsearch-v2-updates
Browse related
Create a free account