llm-app vs xberg
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| llm-app | xberg | |
|---|---|---|
| Tagline | Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. | A polyglot document intelligence framework |
| Stars | 59k | 8.6k |
| Forks | 1.4k | 508 |
| Open issues | 10 | 12 |
| Language | Jupyter Notebook | Rust |
| License | MIT | MIT |
| Last pushed | Jul 5, 2026 | Jul 7, 2026 |
| Categories | Data & Retrieval, LLM Frameworks | Developer Tools |
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
xberg
Xberg is a comprehensive framework for extracting text, metadata, images, and structured information from various file formats, including PDFs and Office documents. It supports multiple programming languages through bindings.
Rust