llm-app

Cloud templates for RAG, AI pipelines, and enterprise search.

🌍 OverseasFree + PaidOpen source

Platforms: WebSelf-hosted

Region: Overseas
Pricing: Free + Paid
Open source: Yes
GitHub Stars: ★ 59.5k
Source: GitHub
Added: 2026-06-04
Last verified: 2026-06-04
GitHub: github.com/pathwaycom/llm-app

Overview

llm-app is a set of ready-to-use cloud templates designed for RAG, AI pipelines, and enterprise search with real-time data support. It stays synchronized with data sources such as SharePoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs. Users can easily deploy these Docker-friendly templates to build efficient data processing and search systems, ideal for enterprises needing rapid integration and scalability.

Key features

▪Ready-to-use cloud templates
▪Real-time data support
▪Synchronization with multiple data sources
▪Docker-friendly

Use cases

Enterprise internal searchAI data processingReal-time data analysisCross-platform data integration

Pros

＋Easy deployment
＋Multi-data source support
＋Real-time updates
＋Flexible scalability

Limitations / notes

－Requires Docker knowledge
－Dependent on cloud services

Who it's for

Enterprise IT teamsData scientistsDevelopersSystem administrators

This overview was compiled by AI from public sources and may contain inaccuracies — please refer to the official site.

FAQ

What data sources does llm-app support?

Supports SharePoint, Google Drive, S3, Kafka, PostgreSQL, and real-time data APIs.

Does llm-app require Docker?

Yes, llm-app is Docker-friendly and recommended for deployment using Docker.

Something wrong? Let us know on the About page and we'll fix it.