arxiviq.comApplied ResearchLive arXiv RAG--:--
Search arXiv like it's your own corpus
A research retrieval assistant, live below. The same production stack we run for customers, pointed at arXiv. RAG Embeddings in production · browse the research registry →
Checking API…
- Corpus indexedarXiv abstracts → chunks in pgvector
- Embed query (two tiers)Full 384d vs Matryoshka t=8 + int8
- Retrieve top-kSide-by-side rank comparison
- Exam: org vs BGE/e5 panelarXiv MCQ scorecard, top-3 retrieval
Checking API…Full vs edge compare
Same query, two serving tiers side-by-side. Full uses the complete embedding (best retrieval). Edge applies Matryoshka prefix t=8 + int8 quant — the home-device story from EVIDENCE.md Family B.
arXiv MCQ exam
Each arXiv-domain question is answerable from one source chunk. A model scores a hit when its retrieval places the source chunk in the top-3. Live mode: scored against real org-embed vs BGE/e5 vectors over the arXiv corpus.
Corpus: harvested from arXiv (CS.CL / retrieval / embedding queries). Re-kickoff with
pnpm harvest:arxiv then pnpm kickoff:orgs after the stack is up. Feedback routes misses to Data / Research via Orchestration.Design-partner seats
Design-partner seats get a dedicated workspace: your corpus, monthly retraining behind deploy gates, and direct roadmap input. First cohort, quarterly terms.