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# Docsearch | ||
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The search is provided by [Algolia Docsearch v3](https://docsearch.algolia.com/docs/DocSearch-v3/). | ||
The search is provided a custom index hosted on Supabase and created by us on a nightly Cron Github Action. | ||
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The docsearch app login is stored in OnePassword, where you can [login here](https://www.algolia.com/). | ||
The Supabase login is stored in OnePassword. | ||
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The dashboard will give you analytics and some configurations and insights into the index that is created. | ||
## Creating Embeddings | ||
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## Crawler | ||
We use the same technology that powers our GPT4 powered Discussions and Chat bot, to create our Site Search. | ||
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Docsearch crawls the website automatically via the crawler. It is recrawled every day. To configure the website crawler you must log into the [crawler application](https://crawler.algolia.com/). | ||
On a nightly basis we index new or updated content in our MDX files and Github Discussions. | ||
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The crawler is configured via the editor, and a configuration object. It controls where the sitemap live, how often to crawl, and how to extract data from the website pages into the search index. | ||
For MDX files we create "sections" of "pages" by chunking mdx files by headings. Those sections are then converted to OPENAI Vector embeds and stored in the Supabase Vector DB. | ||
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Use the Crawler app to visualize what Algolia can extract from our web pages as it crawls, and test any configuration changes you make. | ||
The same happens with Github discussions. The discussion is a page and is split into two sections, the initial post and the answer. | ||
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Crawler documentation can be found [here](https://www.algolia.com/doc/tools/crawler/apis/configuration/). | ||
We can then perform a similarity search using the user input as the query. | ||
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Embeddings are cerated using the the [embedding script](../../../packages/paste-website/scripts/search/). | ||
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## Returning results | ||
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We have a [NextJS API route](https://nextjs.org/docs/pages/building-your-application/routing/api-routes) `/api/documentation-search`. It will return the top 10 most similar page sections across MDX and Github discussions based on a user `prompt`. |
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"author": "Twilio Inc.", | ||
"license": "MIT", | ||
"workspaces": { | ||
"packages": ["apps/**/*", "packages/**/*", "templates/**/*", "!packages/paste-core/core-bundle/**/*"] | ||
"packages": [ | ||
"apps/**/*", | ||
"packages/**/*", | ||
"templates/**/*", | ||
"!packages/paste-core/core-bundle/**/*" | ||
] | ||
}, | ||
"types": "./types/index.d.ts", | ||
"engines": { | ||
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@@ -228,5 +233,9 @@ | |
} | ||
}, | ||
"packageManager": "[email protected]", | ||
"browserslist": ["last 2 versions", "not dead", "not IE 11"] | ||
"browserslist": [ | ||
"last 2 versions", | ||
"not dead", | ||
"not IE 11" | ||
] | ||
} |
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packages/paste-website/src/components/site-search/SearchEmptyIllustration.tsx
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/* DISCLAIMER: this is an example, not meant to be used in production */ | ||
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export const SearchEmptyIllustration = ({ | ||
width, | ||
height, | ||
...props | ||
}: { width: number; height: number }): JSX.Element => ( | ||
<svg xmlns="http://www.w3.org/2000/svg" width={width} height={height} viewBox="0 0 190 80" fill="none" {...props}> | ||
<path | ||
fill="#EDF6FF" | ||
d="M35.57 23.35c-3.66 5.08-5.84 11.28-5.98 17.49-.09 4.29.59 8.62 2.05 12.65 2.34 6.45 7 11.81 13.21 14.78 5.66 2.7 12.18 3.32 18.38 2.36 9.75-1.51 19.15-7.35 23.27-16.32 5.37-11.69 1.62-26.83-7.68-35.02-8.2-7.22-21.43-9.32-31.8-5.13-4.61 1.86-8.57 5.17-11.46 9.19h.01Z" | ||
/> | ||
<path | ||
fill="#FBEDE3" | ||
d="M129.32 29.72c-2.13 2.96-3.4 6.57-3.48 10.18-.05 2.5.34 5.02 1.2 7.37 1.36 3.75 4.07 6.88 7.69 8.61 3.29 1.57 7.09 1.94 10.7 1.38 5.68-.88 11.15-4.28 13.55-9.5 3.13-6.81.94-15.62-4.47-20.39-4.77-4.2-12.48-5.43-18.51-2.99-2.68 1.08-4.99 3.01-6.67 5.35l-.01-.01Z" | ||
/> | ||
<path | ||
fill="#fff" | ||
d="M116.23 2.98h-.68c-.45 0-.9 0-1.34-.01-.88 0-1.75-.02-2.59-.02-1.69-.02-3.3-.03-4.84-.04-3.08-.02-5.87-.05-8.39-.07-5.04-.03-9.02-.04-12.11-.03-6.2.02-8.89.07-9.64.08-1.91.04-3.33.09-4.27.15-.94.06-1.4.12-1.41.17v.02c-.17-.29-.41 3.42-.59 12.63-.04 2.01-.19 10.11-.42 21.64-.2 5.77.04 12.41-.08 19.54 0 .22-.01.45-.02.67v1.02c0 .11 0 .26.02.38.04.26.12.52.25.75.25.47.69.85 1.2 1.02.5.15.96.21 1.44.24s.94.03 1.41.04c.47 0 .93.01 1.4.02h2.84c3.8-.02 7.69-.12 11.63-.16 1.97-.02 3.95-.03 5.93 0 1.99.04 3.98.07 5.98.11l5.99.12 1.49.03 1.49.05c1 .03 2.02.06 3.04-.15.51-.11 1.03-.28 1.48-.59.46-.31.82-.78 1-1.3.2-.51.21-1.07.23-1.54.02-.49.05-.98.07-1.47.09-1.96.18-3.91.25-5.84.14-3.86.25-7.64.32-11.31.15-7.34.2-14.21.17-20.28 0-3.04-.05-5.87-.09-8.47-.03-1.3-.05-2.54-.08-3.71-.02-.59-.03-1.16-.05-1.71 0-.28-.01-.55-.02-.82" | ||
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fill="#121C2D" | ||
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fill="#EE2F46" | ||
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fill="#121C2D" | ||
d="M110.5 28.31c-2.12-.12-31.01-.56-32.83-.58-2.37-.03-3.01.77.21.81 1.79.02 31.38.31 32.57.28 1.33-.03 1.3-.44.06-.51h-.01ZM100.46 32.14c-1.52-.1-22.19-.23-23.5-.23-1.7 0-2.16.8.14.81 1.29 0 22.48-.02 23.33-.06.95-.05.92-.46.03-.52Z" | ||
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fill="#EE2F46" | ||
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