Overview
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.
Key features
- Application templates for RAG, search and AI pipelines using live data sources.
Requirements, installation and quick start
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).
Usage
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).
Model compatibility and use cases
Model compatibility is not stated in the repository metadata.
License and risk notes
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.
Release and maintenance
[View upstream releases](https://github.com/pathwaycom/llm-app/releases).