[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fI53sLpbPGjvnaGGiuE6sm6X7KnjXgfz-J-hDxUZHHMQ":3},{"slug":4,"display_name":4,"profile_url":5,"plugin_count":6,"total_installs":7,"avg_security_score":8,"avg_patch_time_days":9,"trust_score":10,"computed_at":11,"plugins":12},"krunalbalas","https:\u002F\u002Fprofiles.wordpress.org\u002Fkrunalbalas\u002F",1,0,100,30,94,"2026-08-29T03:12:04.398Z",[13],{"slug":14,"name":15,"version":16,"author":4,"author_profile":5,"description":17,"short_description":18,"active_installs":7,"downloaded":19,"rating":7,"num_ratings":7,"last_updated":20,"tested_up_to":21,"requires_at_least":22,"requires_php":23,"tags":24,"homepage":30,"download_link":31,"security_score":8,"vuln_count":7,"unpatched_count":7,"last_vuln_date":32,"fetched_at":33},"vecpost","VecPost AI Search for Posts","1.0.0","\u003Cp>VecPost AI Search for Posts replaces WordPress’s default SQL LIKE search with vector-based semantic search. Instead of matching exact words, it understands the \u003Cem>meaning\u003C\u002Fem> of a search query.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Example:\u003C\u002Fstrong> A user searching “heart workouts” will find your post titled “Best cardiovascular exercises” – even though no words overlap – because the meanings are similar.\u003C\u002Fp>\n\u003Ch4>How It Works\u003C\u002Fh4>\n\u003Col>\n\u003Cli>When you publish a post, the plugin sends its content to your chosen AI provider (OpenAI or Google Gemini) to generate a vector embedding – a list of numbers that represents the meaning of the text.\u003C\u002Fli>\n\u003Cli>These numbers are stored in your database.\u003C\u002Fli>\n\u003Cli>When a user searches, their query is also converted to numbers, and the plugin finds posts whose numbers are closest – meaning most semantically similar.\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Ch4>Features\u003C\u002Fh4>\n\u003Cul>\n\u003Cli>Semantic search powered by OpenAI (\u003Ccode>text-embedding-3-small\u003C\u002Fcode> or \u003Ccode>text-embedding-3-large\u003C\u002Fcode>) or Google Gemini (\u003Ccode>gemini-embedding-001\u003C\u002Fcode>)\u003C\u002Fli>\n\u003Cli>Hybrid re-ranking: combines semantic similarity with keyword matching for best results\u003C\u002Fli>\n\u003Cli>Gutenberg block and shortcode \u003Ccode>[vecpost_semantic_search]\u003C\u002Fcode> for easy placement\u003C\u002Fli>\n\u003Cli>Bulk indexer with progress bar for existing posts\u003C\u002Fli>\n\u003Cli>WP-CLI support: \u003Ccode>wp vecpost-semantic-search index\u003C\u002Fcode>, \u003Ccode>wp vecpost-semantic-search status\u003C\u002Fcode>, \u003Ccode>wp vecpost-semantic-search search \"query\"\u003C\u002Fcode>\u003C\u002Fli>\n\u003Cli>Configurable scoring thresholds via Settings -> VecPost – AI Semantic Search for Posts\u003C\u002Fli>\n\u003Cli>Automatic re-indexing when you switch embedding models\u003C\u002Fli>\n\u003Cli>Results cached via WordPress object cache (Redis\u002FMemcached compatible)\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch4>Third-Party Services\u003C\u002Fh4>\n\u003Cp>This plugin sends post content to external AI APIs to generate embeddings. By using this plugin, you agree to the terms of service and privacy policies of your chosen provider:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>OpenAI:\u003C\u002Fstrong> https:\u002F\u002Fopenai.com\u002Fpolicies\u002Fprivacy-policy | https:\u002F\u002Fopenai.com\u002Fpolicies\u002Fterms-of-use\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Google Gemini:\u003C\u002Fstrong> https:\u002F\u002Fpolicies.google.com\u002Fprivacy | https:\u002F\u002Fai.google.dev\u002Fterms\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>No data is sent without your API key being configured. Data is only transmitted when posts are published or during bulk indexing.\u003C\u002Fp>\n\u003Ch4>Performance Note\u003C\u002Fh4>\n\u003Cp>Semantic search requires loading all embeddings into PHP memory for comparison. This works well for sites with up to approximately 1,500 posts. For larger sites, a dedicated vector database (pgvector, Qdrant, or Pinecone) is recommended.\u003C\u002Fp>\n","AI-powered semantic search for WordPress posts. Understands meaning, not just keywords. Powered by OpenAI or Google Gemini.",118,"2026-05-23T10:33:00.000Z","6.9.5","6.1","7.4",[25,26,27,28,29],"ai-search","embeddings","openai","search","semantic-search","https:\u002F\u002Fgithub.com\u002Fkrunalb18\u002Fvecpost","https:\u002F\u002Fdownloads.wordpress.org\u002Fplugin\u002Fvecpost.1.0.0.zip",null,"2026-07-22T17:31:50.256Z"]