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Update case-study-dust.md
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added RAG guide
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maddie-qdrant authored Sep 20, 2024
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Expand Up @@ -52,7 +52,8 @@ data usually sits in various SaaS applications across the organization.

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. Users can manage so-called data sources within
aware AI assistants through [RAG](https://qdrant.tech/rag/rag-evaluation-guide/)
. Users can manage so-called data sources within
Dust and upload files or directly connect to it via APIs to ingest data from
tools like Notion, Google Drive, or Slack. Dust then handles the chunking
strategy with the embeddings models and performs retrieval augmented generation.
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