wagtail/wagtail-vector-index
Store Wagtail pages & Django models as embeddings in vector databases
Supports multiple vector database backends (PostgreSQL/pgvector, Qdrant, Weaviate) with pluggable embedding providers for natural language search, similarity matching, and content recommendations. Automatically indexes Django model changes and Wagtail page revisions through Django signals, with configurable chunking and embedding strategies. Integrates deeply with Wagtail's page hierarchy and Django ORM, enabling semantic search capabilities across content without requiring external search infrastructure.
No commits in the last 6 months. Available on PyPI.
Stars
22
Forks
17
Language
Python
License
MIT
Category
Last pushed
Mar 11, 2025
Monthly downloads
210
Commits (30d)
0
Dependencies
5
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