wagtail/wagtail-vector-index
Store Wagtail pages & Django models as embeddings in vector databases
This is a developer tool that helps build advanced content features. It takes content from Django models and Wagtail pages, converts it into numerical representations, and stores these in vector databases. Developers use this to implement natural language search, similarity search, and content recommendation features for their users.
No commits in the last 6 months. Available on PyPI.
Use this if you are a Python developer building a Wagtail or Django site and want to add intelligent search or content recommendation features.
Not ideal if you are an end-user looking for a ready-to-use search solution; this is a foundational tool for developers.
Stars
22
Forks
17
Language
Python
License
MIT
Category
Last pushed
Mar 11, 2025
Commits (30d)
0
Dependencies
5
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/wagtail/wagtail-vector-index"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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