Libraries tagged by ask-ai
thehocinesaad/laravel-error-ai
59373 Downloads
This package adds Ask AI button to the error page.
drupal/varbase_ai_answers_base
705 Downloads
Ask AI for Varbase: a public question box that answers from the site's own content with numbered citations and source cards, with AI Answers over the Varbase AI Search vector index. Experimental. Opt-in: never applied by default.
drupal/varbase_ai_search_base
709 Downloads
Varbase AI Search: a vector index of the site's content with AI Search over the site's default vector database provider, the retrieval half of Ask AI. Experimental. Opt-in: never applied by default.
vectorifyai/vectorify-laravel
6120 Downloads
Vectorify package for Laravel. The fastest way to ask AI about your data.
codewithngoni/filament-ask-ai
2 Downloads
Adds AI-power on Filament forms fields.
heydeacon/statamic-deacon
1 Downloads
Statamic addon that adds Deacon, an AI support chat that answers from your docs, to every page.
heydeacon/craft-deacon
1 Downloads
Craft CMS plugin that adds Deacon, an AI support chat that answers from your docs, to every page.
vectorifyai/vectorify-php
5828 Downloads
Vectorify package for PHP. The fastest way to ask AI about your data.
drupal-eca-recipe/eca_lib_0051
3 Downloads
Scores every newly submitted comment for toxicity and spam with one AI call that returns a strict JSON verdict, then routes that verdict through ordinary ECA conditions into one of three exits: publish, hold for review, or block. The thresholds are two "Token: set value" actions in the model, not numbers in the prompt, so the policy can be changed without touching the prompt. Every run writes both scores, both thresholds and the exit taken to the eca_comment_verdict log channel, and a failed or undecodable AI response holds the comment instead of publishing it. Requires the ai_integration_eca and eca_tamper contributed modules, and a chat model that supports structured output has to be selected in the "Ask AI to score the comment" action.
drupal-eca-recipe/eca_lib_0038
4 Downloads
Sends the article text to an AI chat model on presave and writes the structured answer into real node fields: SEO meta description, reading time, sentiment and Tags terms. Triggered by node entity presave, guarded so that each article is enriched only once. Includes the library's Article tags recipe, which provides the Article content type with its body and Tags fields and the Tags vocabulary. Requires the ai_integration_eca and eca_tamper contributed modules. After applying the recipe, select a chat model that supports structured output in the "Ask AI for structured enrichment data" action.