Vue d’ensemble
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.
Fonctionnalités clés
- Application templates for RAG, search and AI pipelines using live data sources.
Prérequis, installation et démarrage rapide
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).
Utilisation
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).
Compatibilité des modèles et cas d’usage
La compatibilité des modèles n’est pas indiquée dans les métadonnées du dépôt.
Licence et notes sur les risques
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.
Publication et maintenance
[View upstream releases](https://github.com/pathwaycom/llm-app/releases).