What problem does it solve?
Research-lit helps you quickly find and understand relevant academic papers so you can write better related work and make informed research decisions without manually searching across scattered sources.
Core Features & Use Cases
- Multi-source literature discovery: Search local PDFs, Zotero libraries, Obsidian vault notes, and the web (plus optional academic APIs like Semantic Scholar, OpenAlex, DeepXiv, Gemini, and Exa).
- Topic-grounded paper analysis: Extract problem, methods, results, and relevance for each retrieved paper, then synthesize findings into a structured table and narrative landscape.
- Evidence-aware workflow options: Supports deduplication across sources, optional arXiv metadata-only fetching, and optional arXiv PDF downloading for top-ranked items.
Quick Start
Ask the AI to run: research-lit on the topic "diffusion models for audio generation" using web and local paper PDFs, then return a table of the most relevant papers with method and key results plus a short synthesis.