> ## Documentation Index
> Fetch the complete documentation index at: https://kalarislabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# paper-corpus-rag — AI agent skill for knowledge and rag

> Build grounded question answering and retrieval-augmented generation (RAG) over your own collection of research papers, with answers that cite the exact p…

# `paper-corpus-rag`

> 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.

**Category:** [knowledge-and-rag](/skills#knowledge-and-rag) · **License:** MIT · **Version:** 1.0

## Install

```bash theme={null}
npx research-agent-skills install paper-corpus-rag
npx skills add KalarisLabs/research-agent-skills --skill paper-corpus-rag
```

## When to use it

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.

## Full playbook

Read [SKILL.md](https://github.com/KalarisLabs/research-agent-skills/blob/main/skills/paper-corpus-rag/SKILL.md) for the complete workflow, references and any scripts. The agent installer copies the full skill folder.
