AI Infrastructure · awesome-list ·59,763 ★

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.

Details

Author
pathwaycom
Category
AI Infrastructure
Platform
awesome-list
Framework
custom
Language
jupyter notebook
Stars
59,763
First indexed
2026-05-15
Last active
2026-01-07
Directory sync
2026-05-15

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.

What llm-app can do

  • 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.
Is llm-app open source?
llm-app is published on awesome-list.
What are alternatives to llm-app?
Comparable agents include awesome, openclaw, AutoGPT. 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 awesome-list, published by pathwaycom.

Last scraped: · First indexed:

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