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Version: legacy

How do we build a DocSearch index?

In this section you will learn how we build a DocSearch index from your page.

Everything starts from your page​

1st step

We extract the payload with to your set of selectors​

2nd step

We will focus on the highlighted information depending on your selectors.

We iterate through the HTML flow and build the payload​

3rd step

This payload will be the only data extracted from your page.

We iterate through the payload and start pushing records​

4th step

We index the temporary record when we add an element to it (if min_indexed_level equals 0)

We pile up the elements based on the current temporary record​

5th step

Based on the position within the flow, we nest elements as much as possible to keep the context and increase the relevancy.

We iterate until we match a text element​

6th step

We override the text element when we find a newer one​

7th step

We remove the stashed, deeper elements when we add a higher level​

8th step

Contextual information and hierarchy must be updated once we encounter a new level. We are doing that because it highlights a new sub-section not related to the previous one.

If you need any further information, please connect with us on Discord or let our support team know.