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fern/products/ask-fern/pages/getting-started/how-it-works.mdx

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@@ -26,8 +26,8 @@ The main parts of the Ask Fern system are:
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chunks and converting each chunk into a vector using sentence embedding
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models. They're stored in a database that serves as Ask Fern's search index.
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* **Query processing** – When users ask questions, Ask Fern vectorizes their
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query and searches the database to find the most relevant documentation
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chunks and code examples.
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query and searches the database to find the most relevant documentation and
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code chunks.
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* **Response generation** – Ask Fern uses the retrieved chunks as context to
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generate accurate answers with [citations](/ask-fern/features/citations) for the user. If the initial context isn't sufficient, it performs an additional keyword search.
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fern/products/ask-fern/pages/getting-started/what-is-ask-fern.mdx

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@@ -40,7 +40,7 @@ Ask Fern helps you:
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<Card
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title="Citations"
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icon="regular quote-right"
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icon="fa-solid fa-quote-right"
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href="/learn/ask-fern/features/citations"
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>
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Point users to the exact source of the answer.

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