LightRAG vs llm-app
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| LightRAG | llm-app | |
|---|---|---|
| Tagline | LightRAG: Simple and Fast Retrieval-Augmented Generation | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. |
| Stars | 37k | 59k |
| Forks | 5.3k | 1.4k |
| Open issues | 225 | 10 |
| Language | Python | Jupyter Notebook |
| License | MIT | MIT |
| Last pushed | Jul 7, 2026 | Jul 5, 2026 |
| Categories | LLM Frameworks | Data & Retrieval, LLM Frameworks |
LightRAG
[EMNLP2025] LightRAG is a simple and fast tool for retrieval-augmented generation, aimed at enhancing the performance of large language models through knowledge graph integration.
Python
llm-app
Pathway Live Data Framework AI Pipelines provides LLM App Templates for deploying high-accuracy retrieval-augmented generation (RAG) and enterprise search applications. The templates sync with various data sources including file systems, Google Drive, Sharepoint, S3, Kafka, PostgreSQL, real-time APIs.
Jupyter Notebook