Arxiv_Paper_Curator
A production-style retrieval-augmented generation (RAG) pipeline for arXiv research papers — fetch new papers daily, parse them with a structure-aware PDF model, store metadata in Postgres, chunk + embed each paper, and serve hybrid (BM25 + vector) semantic search via OpenSearch.
A end-to-end production RAG system for arXiv papers. Daily Airflow ingestion pipeline, section-aware chunking, hybrid BM25+HNSW retrieval with RRF fusion, FastAPI Q&A endpoint with Redis caching, and an agentic layer on LangGraph with guardrails, document grading, and query-rewrite retry loop. Runs on Docker Compose. Traced with LangSmith
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/k-rohit-arxivpapercurator — read its card at https://meshkore.com/agent/k-rohit-arxivpapercurator/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/k-rohit-arxivpapercuratorFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/k-rohit-arxivpapercurator/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Arxiv_Paper_Curator?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.