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Build grounded question answering and retrieval-augmented generation (RAG) over your own collection of research papers, with answers that cite the exact paper and passage. Use when a user wants to "chat with" or search a folder of PDFs, synthesize evidence across a literature corpus, find which paper says X, or build a vector/hybrid index with SQLite FTS5, pgvector (Postgres), Chroma, Qdrant or FAISS. Includes a zero-dependency local full-text index with citable hits.

Install

npx skills add KalarisLabs/research-agent-skills --skill paper-corpus-rag -a claude-code

Installs to .claude/skills/paper-corpus-rag/ · Each command fetches the skill straight from GitHub with the open skills CLI.

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