23 Aug 2025
Xavier Collins
Providing access to the same global-scale infrastructure that powers public answer engine
The modern internet represents humanity’s collective knowledge and wisdom. Yet accessing this information programmatically and at scale has remained out of reach for too long. Legacy search incumbents maintain proprietary indices for their own exclusive use. Other providers have tried their best to fill the gaps, but are unable to provide the quality that today’s developers need to build new capabilities in an increasingly information-driven, AI-forward marketplace. We’ve long heard from our own developer community that a world-class search and retrieval offering is sorely needed within the AI ecosystem.
Today, we’re answering that call by launching the Perplexity Search API. Our API provides access to the same global-scale infrastructure that powers Perplexity’s public answer engine. With an index covering hundreds of billions of webpages, developers can now tap information from across the internet with one simple yet powerful interface.
Built for modern AI workloads
Perplexity Search API is designed for the unique demands of AI applications. Unlike other API offerings that expose a restricted universe of information, our API provides rich structured responses that are ready for use in AI and traditional applications alike.
When it comes to AI, context is king. It is insufficient to operate simply at the document level. Our indexing and retrieval infrastructure divides documents up into fine-grained units. These sub-document units are individually surfaced and scored against the original query parameters, allowing our API to return documents with the most relevant snippets already ranked. This means less preprocessing, faster integration, and more valuable downstream results.
Image Fields
Images in your CSV content must be URLs to an image. They will be downloaded and imported into Framer. Relative paths are not supported.
Date Fields
Recommended format is ISO8601 compliant, for example: 2023-12-17T14:42:00. The shorthand value of year-month-day is also supported, for example: 1982-12-01. Long format strings may work, but will depend on your browser, for example: Tue May 12 2020 18:50:21 GMT-0500 (Central Daylight Time). All time data, including time zone information, will be stripped from the date.
Color Fields
A color formatted as CSS hexadecimal RGB code, rgb, hls or hlv expression, or a named color. All variants with an alpha value are also supported. Examples: #00ffee, rgb(0, 153, 255), hsla(204, 100%, 50%, 0.5), blue, darkgreen, rebeccapurple.
Toggle Fields
A boolean value. Y, yes, TRUE, 1 will be interpreted as the toggle being "Yes", all other values will be "No".
Prepare your CMS Collection
Here is a checklist to prepare your CMS collection for importing.
Verify each field/column in your CSV has a matching field in your CMS collection with the same name.
Include a unique field for each item, often named "Slug"
Verify that your data types match (eg. a CMS Date field for a date field in your data)
Tip: Framer uses your Slug field to identify each item, and will use it to update that item with repeat imports.
Import your CSV file
You can find the Import feature by going to the CMS in your project, and clicking "Import" in the toolbar. From there, you can select your CSV file for importing. You may also drag & drop your CSV file directly into the CMS collection interface.
Tip: Importing supports Undo / Redo actions. If you're not happy with the import, you can simply undo the change with CMD+Z on MacOS or CTRL + Z on Windows. Redo will not re-run the import, but instantly apply the changes to the collection.
Updating or Re-Importing
To update your content, you can import into the same collection again. If any item in the new import has a slug field that matches one of the items in your collection, you will be able to update it or skip importing it again.
