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llm-app
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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.

by pathwaycom · GitHub
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chatbothugging-facellmMITJupyter NotebookSelf-hostable
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In plain words

Deploy AI applications that search and analyze live data from multiple sources with ready-made templates.

From the README

Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.

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59.2k58.9k
2026-06-272026-08-31
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📄 About

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.

llm-app has 59k stars on GitHub. It has been forked 1.5k times. llm-app is written mainly in Jupyter Notebook. It has been in active development since 2023. llm-app is available under the MIT license. Its main topics are chatbot, hugging-face, llm, llm-local.

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 an open-source project. It is released under the MIT license.

Is llm-app free?

Yes. llm-app is free and open source — you can use, modify and self-host it.

What license does llm-app use?

llm-app is available under the MIT license.

What language is llm-app written in?

llm-app is written mainly in Jupyter Notebook.

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