Resumen
Application templates for RAG, search and AI pipelines using live data sources. The repository is maintained under pathwaycom on GitHub. Its primary language is Jupyter Notebook. See the [project README](https://github.com/pathwaycom/llm-app#readme) for the supported workflows.
Características principales
- Application templates for RAG, search and AI pipelines using live data sources.
Requisitos, instalación y guía rápida
Choose an application template and follow that template’s README for deployment, dependencies and data-source configuration.
[Read the upstream installation and quickstart instructions](https://github.com/pathwaycom/llm-app#readme).
[Read the upstream installation and quickstart instructions](https://github.com/pathwaycom/llm-app#readme).
Uso
Use a small collection of documents to test ingestion and retrieval, inspect the results, then expand to your knowledge workflow.
[Usage examples and configuration reference](https://github.com/pathwaycom/llm-app#readme).
[Usage examples and configuration reference](https://github.com/pathwaycom/llm-app#readme).
Compatibilidad de modelos y casos de uso
La compatibilidad del modelo no se indica en los metadatos del repositorio.
Notas sobre la licencia y los riesgos
GitHub reports MIT for this repository. Review the upstream license file; model weights, datasets and dependencies may have separate terms.
Source review 2026-09-05: GitHub search metadata and repository README. No runtime benchmark performed. License metadata: MIT.
Lanzamiento y mantenimiento
[View upstream releases](https://github.com/pathwaycom/llm-app/releases).