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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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Learn how to get started with Qdrant for your RAG use case
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/img/retrieval-augmented-generation-use-cases/case1.svg /img/retrieval-augmented-generation-use-cases/case1-mobile.svg Music recommendation
Question and Answer System with LlamaIndex Combine Qdrant and LlamaIndex to create a self-updating Q&A system.
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Jupyter Notebook 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
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/img/retrieval-augmented-generation-use-cases/case2.svg /img/retrieval-augmented-generation-use-cases/case2-mobile.svg Food discovery
Retrieval Augmented Generation with OpenAI and Qdrant Basic RAG pipeline with Qdrant and OpenAI SDKs.
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Learn More /articles/food-discovery-demo/
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/img/retrieval-augmented-generation-use-cases/customer-logo.svg Logo
See how Dust is using Qdrant for RAG 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.
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Read Case Study /blog/dust-and-qdrant/
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/img/retrieval-augmented-generation-use-cases/case-study.png Preview
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