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instill-core

instill-core

instill-ai
March 28, 2025
github

🔮 Instill Core

Integration Test GitHub release (latest SemVer including pre-releases) Artifact Hub Discord All Contributors

A complete unstructured data solution: ETL processing, AI-readiness, open-source LLM hosting, and RAG capabilities in one powerful platform.

Quick start

Follow the installation steps below or documentation for more details to build versatile AI applications locally.

What is Instill Core?

Instill Core is an end-to-end AI platform for data, pipeline and model orchestration.

🔮 Instill Core simplifies infrastructure hassle and encompasses these core features:

  • 💧 Pipeline: Quickly build versatile AI-first APIs or automated workflows.
  • ⚗️ Model: Deploy and monitor AI models without GPU infrastructure hassles.
  • 💾 Artifact: Transform unstructured data (e.g., documents, images, audio, video) into AI-ready formats.
  • ⚙️ Component: Connect essential building blocks to construct powerful pipelines.

What can you build?

  • 📖 Parsing PDF Files to Markdown: Cookbook
  • 🧱 Generating Structured Outputs from LLMs: Cookbook & Tutorial
  • 🕸️ Web scraping & Google Search with Structured Insights
  • 🌱 Instance segmentation on microscopic plant stomata images: Cookbook

See Examples for more!

Installation

Prerequisites

| Operating System | Requirements and Instructions | | ---------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | macOS or Linux | Instill Core works natively | | Windows | • Use Windows Subsystem for Linux (WSL2) • Install latest yq from GitHub Repository • Install latest Docker Desktop and enable WSL2 integration (tutorial) • (Optional) Install cuda-toolkit on WSL2 (NVIDIA tutorial) | | All Systems | • Docker Engine v25 or later • Docker Compose v2 or later • Install latest stable Docker and Docker Compose |

Steps

Use stable release version

Execute the following commands to pull pre-built images with all the dependencies to launch:

$ git clone -b v0.50.0-beta https://github.com/instill-ai/instill-core.git && cd instill-core

# Launch all services
$ make all

[!NOTE] We have restructured our project repositories. If you need to access 🔮 Instill Core projects up to version v0.13.0-beta, please refer to the instill-ai/deprecated-core repository.

Use the latest version for local development

Execute the following commands to build images with all the dependencies to launch:

$ git clone https://github.com/instill-ai/instill-core.git && cd instill-core

# Launch all services
$ make latest PROFILE=all

[!IMPORTANT] Code in the main branch tracks under-development progress towards the next release and may not work as expected. If you are looking for a stable alpha version, please use latest release.

🚀 That's it! Once all the services are up with health status, the UI is ready to go at . Please find the default login credentials in the documentation.

To shut down all running services:

make down

Deployment

Visit the Deployment Overview for more details.

Client Access

Documentation

Please visit our official documentation for more.

Additional resources:

Contributing

We welcome contributions from our community! Checkout the methods below:

  1. Cookbooks: Help us create helpful pipelines and guides for the community. Visit our Cookbook repository to get started.

  2. Issues: Contribute to improvements by raising tickets using templates here or discuss in existing ones you think you can help with.

Community Standards

We are committed to maintaining a respectful and welcoming atmosphere for all contributors. Before contributing, please read:

Support

Get help by joining our Discord community where you can post any questions on our #ask-for-help channel.

Contributors ✨

Thank you to all these wonderful people (emoji key):

Vibhor Bhatt

Miguel Ortiz

Sajda Kabir

Henry Chen

Hari Bhandari

Shiva Gaire

Zubeen

ShihChun-H

Ikko Eltociear Ashimine

Farookh Zaheer Siddiqui

Brian Gallagher

hairyputtar

David Marx

Deniz Parlak

Po-Yu Chen

Po Chun Chiu

Sarthak

HR Wu

phelan

Chang, Hui-Tang

Xiaofei Du

Ping-Lin Chang

Tony Wang

Pratik date

Juan Vallés

Naman Anand

totuslink

Praharsh Jain

Utsav Paul

CaCaBlocker

Rafael Melo

Jeremy Shih

Romit Mohane

ChunHao

Amelia C

楊竣凱

andre.liang

Zoodane

George Strong

Anni

Mubeen Kodvavi

RCKT

Wojciech Bandzerewicz

Gary

Leo

felixcorleone

Zoe

Daniel

Manul Thanura

Akash Jana

Anish0203

Prathamesh Tugaonkar

Shubham

This project follows the all-contributors specification. Contributions of any kind welcome!

License

See the LICENSE file for licensing information.

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0.515

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