A way to share content from a specific domain using SQLite as an alternative to RSS feeds. The purpose of this library is to simply create a dataset for all the content on your website, using the XML sitemap as a starting point.

Possibility to include vector search similarity features in the dataset very easily.

Article that explains the rationale behind this type of datasets here.

pip install contentmap

To build your contentmap.db with vector search capabilities and containing all your content using your XML sitemap as a starting point, you only need to write the following:

from contentmap.sitemap import SitemapToContentDatabase

database = SitemapToContentDatabase(
    sitemap_url="https://yourblog.com/sitemap.xml",
    concurrency=10,
    include_vss=True
)
database.build()

This will automatically create the SQLite database file, with vector search capabilities (piggybacking on sqlite-vss integration on Langchain).