AI Infrastructure · GitHub ·59,358 ★

llm-app

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

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Details

Author
pathwaycom
Category
AI Infrastructure
Platform
GitHub
Framework
custom
Language
jupyter notebook
Stars
59,358
First indexed
2026-06-14
Last active
2026-06-10
Directory sync
2026-06-14
@pathwaycom@pathway_compathway.comDiscord

Overview

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

Quick start

git

git clone https://github.com/pathwaycom/llm-app

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What llm-app can do

chatbothugging-facellmllm-localllm-prompting
  • Chatbot — Answers user questions in a chat interface.
  • Hugging Face — hugging-face task automation.
  • Llm — llm task automation.
  • Llm Local — llm-local task automation.
  • Llm Prompting — llm-prompting task automation.

Frequently asked questions

What is llm-app?
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
How do I install llm-app?
Use git: `git clone https://github.com/pathwaycom/llm-app`. Full setup details on the source page linked above.
Is llm-app open source?
llm-app is published on GitHub.
What are alternatives to llm-app?
Comparable agents include awesome, openclaw, superpowers. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for llm-app is sourced from GitHub, published by pathwaycom.

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