paper-qa vs awesome-llm-apps
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| paper-qa | awesome-llm-apps | |
|---|---|---|
| Tagline | High accuracy RAG for answering questions from scientific documents with citations | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. |
| Stars | 8.8k | 117k |
| Forks | 887 | 17k |
| Open issues | 140 | 6 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jun 29, 2026 | Jun 15, 2026 |
| Categories | Data & Retrieval, LLM Frameworks | AI Agents, LLM Frameworks |
paper-qa
PaperQA2 is a Python package designed to perform retrieval augmented generation (RAG) on various document types, focusing specifically on the scientific literature. It aims to achieve superhuman performance in scientific tasks such as question answering, summarization, and contradiction detection.
Python
awesome-llm-apps
A repository containing a collection of AI agent and Retrieval-Augmented Generation (RAG) applications that are ready to be cloned, customized, and deployed. The projects cover various aspects such as AI agents, always-on agents, multi-agent teams, RAG techniques, voice agents, fine-tuning for specific use cases, and more.
Python