paper-qa vs langflow
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| paper-qa | langflow | |
|---|---|---|
| Tagline | High accuracy RAG for answering questions from scientific documents with citations | Langflow is a powerful platform for building and deploying AI-powered agents and workflows. |
| Stars | 8.8k | 151k |
| Forks | 887 | 9.5k |
| Open issues | 140 | 977 |
| Language | Python | Python |
| License | Apache-2.0 | MIT |
| Last pushed | Jun 29, 2026 | Jul 7, 2026 |
| Categories | Data & Retrieval, LLM Frameworks | AI Agents, Evaluation & Observability, Data & Retrieval |
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
langflow
A tool that offers a visual interface to create custom AI-powered services, integrating support for major language models (LLMs) and vector databases. It also provides multi-agent orchestration capabilities and observability.
Python