mirror of https://github.com/docker/docs.git
22 lines
885 B
Markdown
22 lines
885 B
Markdown
---
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description: Containerize RAG application using Ollama and Docker
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keywords: python, generative ai, genai, llm, ollama, rag, qdrant
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title: Build a RAG application using Ollama and Docker
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linkTitle: RAG Ollama application
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summary: |
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This guide demonstrates how to use Docker to deploy Retrieval-Augmented
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Generation (RAG) models with Ollama.
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tags: [ai]
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aliases:
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- /guides/use-case/rag-ollama/
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params:
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time: 20 minutes
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---
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The Retrieval Augmented Generation (RAG) guide teaches you how to containerize an existing RAG application using Docker. The example application is a RAG that acts like a sommelier, giving you the best pairings between wines and food. In this guide, you’ll learn how to:
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- Containerize and run a RAG application
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- Set up a local environment to run the complete RAG stack locally for development
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Start by containerizing an existing RAG application.
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