meilisearch/meilisearch
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Repository profile
Django integration with Meilisearch
Repository updates
Get generated ikollipara/django-meili development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-18 04:41
25 captures since 2026-06-02
Stars from baseline 0
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-18 04:41
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Meilisearch integration for Ruby on Rails
Django package that provides auto indexing and searching capabilities for Django model instances using RediSearch.
Django Check SEO will check the SEO aspects of your site for you, and will provide advice in case of problems. Compatible with Django & Django-CMS!
PEP-484 type hints bindings for the Django web framework
Django BM25 full-text search using PostgreSQL - a lightweight Elasticsearch alternative
403 Forbidden | https://api.github.com/repos/ikollipara/django-meili/readme | message=API rate limit exceeded for user ID 8257474. If you reach out to GitHub Support for help, please include the request ID C30A:2B919F:4480A5A:407D1B5:6A5B0402 and timestamp 2026-07-18 04:41:38 UTC. For more on scraping GitHub and how it may affect your rights, please review our Terms of Service (https | rate_limit_remaining=0 | rate_limit_reset=1784350828