llm-app
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
llm-app offers cloud templates for RAG, AI pipelines, and enterprise search, supporting integration with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.
Good fit when
- When you need ready-to-run cloud templates for RAG, AI pipelines, and enterprise search that integrate seamlessly with data sources such as Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-ti
- If your project requires Docker-friendly setups and continuous synchronization with cloud storage and real-time data APIs, llm-app provides the necessary infrastructure.
Avoid when
- Avoid using llm-app if your project does not require integration with specific data sources like Sharepoint or Google Drive, as the tool's strength lies in its broad data source support.
- Do not use llm-app if you are looking for a tool that focuses solely on model training or inference without the need for cloud templates or enterprise search capabilities.
- Pricing:
- freemium - The repository is open-source under the MIT License, but additional services or support might incur costs.
- Requirements:
- Min 4 GB RAM; Requires Docker; Requires Docker for running the cloud templates.; Supports integration with a variety of data sources including Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Steady (74d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/pathwaycom/llm-appHow it fits your stack(36)
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Overview
Provides cloud templates for RAG, AI pipelines, and enterprise search, supporting integration with various data sources like Sharepoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs
Capability facts
- Languages
- jupyter notebook, python
Source: github.language+pyproject.toml · Sep 18, 2026
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README
Getting started Each of the App templates in this repo contains a README.md with instructions on how to run it. You can also find more ready to run code templates on the Pathway website.
For agents
This page has a .md twin and JSON over the API.