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Co-authored-by: Maddie Duhon <madelyn.duhon@qdrant.com>
Co-authored-by: Anush <anushshetty90@gmail.com>
2024-10-02 18:28:18 +05:30

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---
title: Learn how to get started with Qdrant for your RAG use case
features:
- id: 0
image:
src: /img/retrieval-augmented-generation-use-cases/case1.svg
srcMobile: /img/retrieval-augmented-generation-use-cases/case1-mobile.svg
alt: Music recommendation
title: Question and Answer System with LlamaIndex
description: Combine Qdrant and LlamaIndex to create a self-updating Q&A system.
link:
text: Jupyter Notebook
url: https://github.com/qdrant/examples/blob/949669f001a03131afebf2ecd1e0ce63cab01c81/llama_index_recency/Qdrant%20and%20LlamaIndex%20%E2%80%94%20A%20new%20way%20to%20keep%20your%20Q%26A%20systems%20up-to-date.ipynb
- id: 1
image:
src: /img/retrieval-augmented-generation-use-cases/case2.svg
srcMobile: /img/retrieval-augmented-generation-use-cases/case2-mobile.svg
alt: Food discovery
title: Retrieval Augmented Generation with OpenAI and Qdrant
description: Basic RAG pipeline with Qdrant and OpenAI SDKs.
link:
text: Learn More
url: /articles/food-discovery-demo/
caseStudy:
logo:
src: /img/retrieval-augmented-generation-use-cases/customer-logo.svg
alt: Logo
title: See how Dust is using Qdrant for RAG
description: Dust provides companies with the core platform to execute on their GenAI bet for their teams by deploying LLMs across the organization and providing context aware AI assistants through RAG.
link:
text: Read Case Study
url: /blog/dust-and-qdrant/
image:
src: /img/retrieval-augmented-generation-use-cases/case-study.png
alt: Preview
sitemapExclude: true
---