paper-corpus-rag
Category: knowledge-and-rag · License: MIT · Version: 1.0 · Includes scripts
Tags: RAG, retrieval, vector database, pgvector, Chroma, Qdrant, FAISS, SQLite, full-text search, literature synthesis
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.Example requests
Ask your agent in plain language, for example:- “I have 300 PDFs of papers. Let me ask questions and get answers with citations to the exact passages.”
Install
/plugin marketplace add KalarisLabs/research-agent-skills and install the whole knowledge-and-rag category with /plugin install knowledge-and-rag@research-agent-skills.
Related
firecrawl-research-indexliterature-reviewopen-notebookqdrant-vector-searchresearch-knowledge-graphsentence-transformers