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llm-app: Instant Enterprise AI Pipelines for Startup Data

Name: llm-app: Instant Enterprise AI Pipelines for Startup Data
Author: pathwaycom

Ready-to-deploy cloud templates for building real-time AI search and data integration across business systems. Perfect for technical founders automating information workflows.

59,481 stars1,430 forksJupyter NotebookUpdated 1/7/2026100% free · open source

What it does

Llm-app provides ready-to-deploy cloud templates for building real-time AI search and data integration across business systems, automating information workflows.

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

Quick start

1Navigate into the cloned repository with 'cd llm-app'
2Pull the Docker image with 'docker pull pathwaycom/llm-app'
3Run the Docker container with 'docker run -p 8000:8000 pathwaycom/llm-app'
4Access the application at 'http://localhost:8000' to start configuring your AI search and data integration
5Modify the configuration files, such as those in the 'config' directory, to connect to your specific data sources

Ready-to-paste prompt

docker run -p 8000:8000 -v $(pwd)/config:/app/config pathwaycom/llm-app --sync-sharepoint --sync-postgres

Topics

chatbot

hugging-face

llm

llm-local

llm-prompting

llm-security

llmops

machine-learning

open-ai

pathway

rag

real-time

retrieval-augmented-generation

vector-database

vector-index

What's inside — free to inspect

No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

top-level files

folders

61.0M

repo size

MIT

license

Key files

README.md

File tree

.github/

.vscode/

assets/

cookbooks/

templates/

.gitignore

CODE_OF_CONDUCT.md

CONTRIBUTING.md

LICENSE

pyproject.toml

README.md

setup.cfg

Quick Actions

Details

Creator

pathwaycom

Language

Jupyter Notebook

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