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llm-app: AI Pipelines Made Easy

Get ready-to-run cloud templates for AI pipelines and enterprise search. For startup founders in need of machine learning solutions.
intermediate1-2 hours💵 Free
59,036 stars1,466 forksJupyter NotebookGuide quality 8/10Updated 7/5/2026100% free · open source
What it is

Create ready-to-run cloud templates for AI pipelines and enterprise search with this tool.

Real use case example

"A founder of a startup needs to quickly set up an enterprise search for their team, so they use this tool to create a ready-to-run cloud template, connect it to their Sharepoint and Google Drive accounts, and then customize the search functionality to meet their specific needs, resulting in a fully functional search system in a short amount of time."

When to use it
  • When you need to integrate data from multiple sources like Sharepoint, Google Drive, or PostgreSQL into a unified search system
  • When automating workflows that require real-time data updates from APIs or event streams like Kafka
  • When building AI-powered search functionality into your application with live data synchronization
Ready-to-paste prompt
docker run -p 8000:8000 -v $(pwd)/config:/app/config pathwaycom/llm-app --sync-sharepoint --sync-postgres
Heads up: Ensure you have Docker installed and running on your system, as llm-app is designed to be Docker-friendly and requires it to run the application
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/llm-app && curl -fsSL https://workflowstacks.com/api/skills/llm-app/claude-skill -o ~/.claude/skills/llm-app/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How llm-app: AI Pipelines Made Easy works
Codeflow
Free to inspect

Llm-app: AI Pipelines Made Easy is a small Jupyter Notebook project (~1.8k lines across 19 code files). Setup is light: install Python, run one command. Last commit a month ago, MIT license, no tests found.

Size
Small codebase
~1.8k lines · 19 code files · 15 min skim
Setup
Light setup
Install Python, run one command.
Runs on
Python
No API keys detected
Jupyter Notebook 85%Python 14%Dockerfile 1%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    pyproject.toml
    Dependencies and the commands it exposes
READMENo tests foundDocumentedCI checksMIT licenseUpdated 2 mo ago
Quick Actions
Details
Creator
pathwaycom
Language
Jupyter Notebook
Category
support
Published
7/19/2023

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