Search & KnowledgeLetter R1 min read

What is Retrieval-Augmented Generation (RAG)?

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In plain English

Fetching relevant documents before generating an answer for better accuracy.

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RAG connects language models to private knowledge by retrieving chunks at query time, then synthesizing a grounded response.

AshnaAI vectorizes uploads and URLs so agents can answer from your content with minimal setup.

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RAG done right: ingestion and chunking

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