[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$ffc2bUqqI9QAq58RAfB_c-dT3Xs8R5z9XSboSYSEWgls":3,"$ffru7wWeJnfOBq-ApqBs2donwHPNK-psNL6D-EO_fA6w":117,"$frXEUOqnZi8gyKV8ZhruHOwHmXpLyrQs-rc23-U7mS30":122},{"slug":4,"name":5,"version":6,"author":7,"author_profile":8,"description":9,"short_description":10,"active_installs":11,"downloaded":12,"rating":11,"num_ratings":11,"last_updated":13,"tested_up_to":14,"requires_at_least":15,"requires_php":16,"tags":17,"homepage":23,"download_link":24,"security_score":25,"vuln_count":11,"unpatched_count":11,"last_vuln_date":26,"fetched_at":27,"discovery_status":28,"vulnerabilities":29,"developer":30,"crawl_stats":26,"alternatives":35,"analysis":26,"fingerprints":26},"ritriever","RiTriever","0.2.3","rioriost","https:\u002F\u002Fprofiles.wordpress.org\u002Frioriost\u002F","\u003Cp>RiTriever adds RAG-style vector retrieval to WordPress search. Published content is embedded, stored in a local vector table, and blended with standard WordPress search results.\u003C\u002Fp>\n\u003Cp>The plugin is intended for WordPress sites that can use native database vector support, primarily MariaDB 11.7 or later. It can index posts, pages, and configured public post types, then use those vectors during front-end search.\u003C\u002Fp>\n\u003Cp>Main features:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>RAG-style search blending with standard WordPress search.\u003C\u002Fli>\n\u003Cli>Native vector storage in the WordPress database.\u003C\u002Fli>\n\u003Cli>OpenAI and Azure OpenAI support for external embedding APIs.\u003C\u002Fli>\n\u003Cli>Local or self-hosted embedding support through Ollama, LM Studio, Infinity, TEI, or Custom HTTP endpoints.\u003C\u002Fli>\n\u003Cli>RAG target language selection from WordPress-supported locales.\u003C\u002Fli>\n\u003Cli>Admin diagnostics for database support, embedding providers, indexing progress, and live vector queries.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>External API use is optional. WordPress 7.0 AI Client does not provide embedding generation, so RiTriever uses direct embedding APIs when external embeddings are configured. Post content and configured custom field values are sent to the selected provider to create embeddings.\u003C\u002Fp>\n\u003Ch3>External services\u003C\u002Fh3>\n\u003Cp>RiTriever connects to external services only when you select an external embedding provider. It sends post titles, post excerpts, post content chunks, selected taxonomy terms, selected custom field values, and short admin test strings when indexing or testing embeddings. The vectors returned by the provider are stored in your WordPress database.\u003C\u002Fp>\n\u003Cp>WordPress 7.0 includes the WordPress AI Client for supported AI capabilities, but the current AI Client announcement and implementation do not include an embeddings API. Because RiTriever requires text embeddings for vector search, it calls embedding providers directly instead of using WordPress AI Client. Reference: https:\u002F\u002Fmake.wordpress.org\u002Fcore\u002F2026\u002F03\u002F24\u002Fintroducing-the-ai-client-in-wordpress-7-0\u002F\u003C\u002Fp>\n\u003Cp>OpenAI sends embedding requests to OpenAI for \u003Ccode>text-embedding-3-small\u003C\u002Fcode> or \u003Ccode>text-embedding-3-large\u003C\u002Fcode>. This service is provided by OpenAI: Terms of use https:\u002F\u002Fopenai.com\u002Fpolicies\u002Fterms-of-use\u002F and Privacy policy https:\u002F\u002Fopenai.com\u002Fpolicies\u002Fprivacy-policy\u002F.\u003C\u002Fp>\n\u003Cp>Azure OpenAI sends embedding requests to your configured Azure OpenAI endpoint. This service is provided by Microsoft Azure: Terms of use https:\u002F\u002Fwww.microsoft.com\u002Flicensing\u002Fterms\u002Fproductoffering\u002FMicrosoftAzure\u002FMCA and Privacy statement https:\u002F\u002Fprivacy.microsoft.com\u002Fprivacystatement.\u003C\u002Fp>\n\u003Cp>Local or self-hosted endpoints, including Ollama, LM Studio, Infinity, TEI, and Custom HTTP, receive the same embedding inputs when selected. Review the terms, privacy policy, and network location for the endpoint you operate or configure.\u003C\u002Fp>\n","Adds RAG-style vector retrieval to WordPress search using native database vector indexes and configurable embeddings.",0,70,"2026-07-03T12:35:00.000Z","7.0.2","6.6","8.1",[18,19,20,21,22],"embeddings","rag","search","semantic-search","vector-search","","https:\u002F\u002Fdownloads.wordpress.org\u002Fplugin\u002Fritriever.0.2.3.zip",100,null,"2026-07-22T17:31:50.256Z","no_bundle",[],{"slug":7,"display_name":7,"profile_url":8,"plugin_count":31,"total_installs":11,"avg_security_score":25,"avg_patch_time_days":32,"trust_score":33,"computed_at":34},2,30,94,"2026-08-29T11:20:24.030Z",[36,54,68,84,99],{"slug":37,"name":38,"version":39,"author":40,"author_profile":41,"description":42,"short_description":43,"active_installs":11,"downloaded":44,"rating":11,"num_ratings":11,"last_updated":45,"tested_up_to":46,"requires_at_least":15,"requires_php":47,"tags":48,"homepage":51,"download_link":52,"security_score":25,"vuln_count":11,"unpatched_count":11,"last_vuln_date":26,"fetched_at":53},"creator-assistant-hub","Creator Assistant Hub","1.0.0","Alessandro Lioce","https:\u002F\u002Fprofiles.wordpress.org\u002Falessandrolioce\u002F","\u003Cp>Creator Assistant Hub is the core infrastructure plugin of the Creator Assistant ecosystem. It connects your WordPress site to OpenAI and Qdrant to automatically generate and store vector embeddings for your content, enabling semantic search and AI-powered features.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>How it works\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>The Hub is the shared infrastructure layer for the Creator Assistant ecosystem. When a compatible add-on is active and activates a vectorizer, the plugin generates vector embeddings via the OpenAI API and stores them in your Qdrant vector database cluster whenever a post is published or updated. This makes your content available for semantic search and retrieval by Creator Assistant add-ons. Without an active add-on, the Hub runs in standby mode — no content is sent to external services.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Key features\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>Automatic post vectorization\u003C\u002Fstrong> — when an add-on activates a vectorizer, embeddings are generated and stored whenever a post is published or updated. Without an active add-on, no vectorization takes place.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Chunk-based vectorization\u003C\u002Fstrong> — splits post content into word-level segments and stores each chunk as a separate Qdrant point, enabling fine-grained retrieval (activated by add-ons via filter).\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Summary-based vectorization\u003C\u002Fstrong> — generates a short AI summary of each post via OpenAI Chat Completions, then embeds and stores a single point per post for high-level semantic search (activated by add-ons via filter).\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Background batch vectorization\u003C\u002Fstrong> — an hourly cron job automatically picks up any existing posts that have not yet been vectorized, so your entire content library is indexed without manual intervention.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>OpenAI integration\u003C\u002Fstrong> — uses the \u003Ccode>text-embedding-3-small\u003C\u002Fcode> model (1536 dimensions) via the OpenAI Embeddings API for all vectorizers; the Summary vectorizer additionally calls the OpenAI Chat Completions API (\u003Ccode>gpt-4.1-nano\u003C\u002Fcode>) to generate post summaries.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Qdrant integration\u003C\u002Fstrong> — stores and retrieves vector embeddings from your Qdrant Cloud cluster. Two collections are used: \u003Ccode>post_chunk\u003C\u002Fcode> for chunk-level points and \u003Ccode>post_summary\u003C\u002Fcode> for post-level summary points.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Block editor panel\u003C\u002Fstrong> — shows the vectorization status of each post directly in the block editor sidebar (document settings panel).\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Post list column\u003C\u002Fstrong> — adds a “Vector Status” column to the posts and pages admin list, showing the vectorization status of each entry at a glance.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Settings page\u003C\u002Fstrong> — configure OpenAI API key, Qdrant endpoint and API key, and cache expiration from a dedicated admin page.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>API response caching\u003C\u002Fstrong> — configurable cache duration to reduce API usage and latency.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Site Health check\u003C\u002Fstrong> — reports the Hub service status in the WordPress Site Health screen.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Qdrant keep-alive\u003C\u002Fstrong> — sends a daily lightweight ping to prevent free-tier Qdrant Cloud clusters from being suspended.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>WPML compatible\u003C\u002Fstrong> — detects the post language via WPML hooks (when WPML is active) and includes it in the Qdrant payload for multilingual filtering.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Extensible\u003C\u002Fstrong> — exposes actions and filters so add-ons can register additional post types, override vectorizer behaviour, customise Qdrant payloads, and add settings tabs.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cstrong>Requirements\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cul>\n\u003Cli>An \u003Ca href=\"https:\u002F\u002Fplatform.openai.com\u002F\" rel=\"nofollow ugc\">OpenAI\u003C\u002Fa> account with a valid API key.\u003C\u002Fli>\n\u003Cli>A \u003Ca href=\"https:\u002F\u002Fcloud.qdrant.io\u002F\" rel=\"nofollow ugc\">Qdrant Cloud\u003C\u002Fa> account with an active cluster (free tier is supported).\u003C\u002Fli>\n\u003Cli>WordPress 6.6 or higher.\u003C\u002Fli>\n\u003Cli>PHP 7.4 or higher.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cstrong>External services\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>This plugin connects to two third-party services. By using this plugin you agree to their respective terms and privacy policies.\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\n\u003Cp>\u003Cstrong>OpenAI\u003C\u002Fstrong> — used to generate vector embeddings from your post content via the Embeddings API. When the Summary vectorizer is active (enabled by an add-on), post content is also sent to the Chat Completions API to generate a short AI summary before embedding.\u003C\u002Fp>\n\u003Cul>\n\u003Cli>Service: \u003Ca href=\"https:\u002F\u002Fplatform.openai.com\u002F\" rel=\"nofollow ugc\">https:\u002F\u002Fplatform.openai.com\u002F\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>Privacy Policy: \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fpolicies\u002Fprivacy-policy\" rel=\"nofollow ugc\">https:\u002F\u002Fopenai.com\u002Fpolicies\u002Fprivacy-policy\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>Terms of Use: \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fpolicies\u002Fterms-of-use\" rel=\"nofollow ugc\">https:\u002F\u002Fopenai.com\u002Fpolicies\u002Fterms-of-use\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003C\u002Fli>\n\u003Cli>\n\u003Cp>\u003Cstrong>Qdrant Cloud\u003C\u002Fstrong> — used to store and query vector embeddings.\u003C\u002Fp>\n\u003Cul>\n\u003Cli>Service: \u003Ca href=\"https:\u002F\u002Fcloud.qdrant.io\u002F\" rel=\"nofollow ugc\">https:\u002F\u002Fcloud.qdrant.io\u002F\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>Privacy Policy: \u003Ca href=\"https:\u002F\u002Fqdrant.tech\u002Flegal\u002Fprivacy-policy\u002F\" rel=\"nofollow ugc\">https:\u002F\u002Fqdrant.tech\u002Flegal\u002Fprivacy-policy\u002F\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>Terms of Service: \u003Ca href=\"https:\u002F\u002Fqdrant.tech\u002Flegal\u002Fterms_and_conditions\u002F\" rel=\"nofollow ugc\">https:\u002F\u002Fqdrant.tech\u002Flegal\u002Fterms_and_conditions\u002F\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>Data is only transmitted to these services after you explicitly accept the Creator Assistant Terms of Service in the plugin settings and provide your own API credentials. No data is transmitted automatically upon activation.\u003C\u002Fp>\n","The AI infrastructure for your WordPress content. Vectorize posts with OpenAI embeddings and store them in Qdrant for semantic search.",161,"2026-03-20T17:52:00.000Z","6.9.4","7.4",[49,18,50,21,22],"ai","openai","https:\u002F\u002Fwww.creator-assistant.it","https:\u002F\u002Fdownloads.wordpress.org\u002Fplugin\u002Fcreator-assistant-hub.1.0.0.zip","2026-04-16T10:56:18.058Z",{"slug":55,"name":56,"version":39,"author":57,"author_profile":58,"description":59,"short_description":60,"active_installs":11,"downloaded":61,"rating":11,"num_ratings":11,"last_updated":62,"tested_up_to":14,"requires_at_least":63,"requires_php":23,"tags":64,"homepage":23,"download_link":67,"security_score":25,"vuln_count":11,"unpatched_count":11,"last_vuln_date":26,"fetched_at":27},"ait-ai-related-posts","AIT AI Related Posts","Rustaurius","https:\u002F\u002Fprofiles.wordpress.org\u002Frustaurius\u002F","\u003Cp>AIT AI Related Posts builds an embedding index of your content and displays related items based on semantic similarity.\u003C\u002Fp>\n\u003Ch3>External Services\u003C\u002Fh3>\n\u003Cp>This plugin can connect to the \u003Cstrong>OpenAI API\u003C\u002Fstrong> to index items so that related ones can be displayed for a post.\u003C\u002Fp>\n\u003Cp>When enabled, requests may include:\u003Cbr \u002F>\n– The post test\u003Cbr \u002F>\n– Post meta data\u003Cbr \u002F>\n– Post taxonomy data\u003Cbr \u002F>\n– Additional post information\u003C\u002Fp>\n\u003Cp>OpenAI policies:\u003Cbr \u002F>\n– Terms of service: https:\u002F\u002Fopenai.com\u002Fpolicies\u002Frow-terms-of-use\u002F\u003Cbr \u002F>\n– Privacy policy: https:\u002F\u002Fopenai.com\u002Fpolicies\u002Frow-privacy-policy\u002F\u003C\u002Fp>\n","Uses AI embeddings to show related posts\u002Fpages by meaning (semantic similarity), without relying on categories\u002Ftags.",37,"2026-07-21T15:03:00.000Z","6.0",[49,18,65,66,21],"internal-linking","related-posts","https:\u002F\u002Fdownloads.wordpress.org\u002Fplugin\u002Fait-ai-related-posts.1.0.0.zip",{"slug":69,"name":70,"version":71,"author":72,"author_profile":73,"description":74,"short_description":75,"active_installs":11,"downloaded":76,"rating":11,"num_ratings":11,"last_updated":77,"tested_up_to":78,"requires_at_least":79,"requires_php":80,"tags":81,"homepage":23,"download_link":83,"security_score":25,"vuln_count":11,"unpatched_count":11,"last_vuln_date":26,"fetched_at":27},"oc3-semantic-box","OC3 Semantic box","1.0.5","oc3dots","https:\u002F\u002Fprofiles.wordpress.org\u002Foc3dots\u002F","\u003Cp>Helps to create search box with semantic search of website content\u003C\u002Fp>\n\u003Ch3>Features\u003C\u002Fh3>\n\u003Cul>\n\u003Cli>AI powered search\u003C\u002Fli>\n\u003Cli>Content aware search\u003C\u002Fli>\n\u003Cli>Personalize the appearance of the search box: colors, styles, text, search result\u003C\u002Fli>\n\u003Cli>Ability to choose whether the search field will be visible only to registered visitors or not.\u003C\u002Fli>\n\u003Cli>Refining queries by adding  keywords to each user search request that is sent to the semantic database.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch3>External Services\u003C\u002Fh3>\n\u003Cp>This plugin uses external API when it performs following functions:\u003Cbr \u002F>\n-when it runs semantic search it sends requests to vector databases:  \u003Ca href=\"https:\u002F\u002Fwww.pinecone.io\u002F\" rel=\"nofollow ugc\">Pinecone\u003C\u002Fa>\u003Cbr \u002F>\n-when it builds vector database from content of your website it sends content selected by you to vector database APIs:\u003Ca href=\"https:\u002F\u002Fwww.pinecone.io\u002F\" rel=\"nofollow ugc\">Pinecone\u003C\u002Fa>\u003Cbr \u002F>\n-when you select delete indexed content then it sends deletion requests to APIs:  \u003Ca href=\"https:\u002F\u002Fwww.pinecone.io\u002F\" rel=\"nofollow ugc\">Pinecone\u003C\u002Fa>\u003Cbr \u002F>\n-when clients of your website try to search information then plugin sends user’s request to \u003Ca href=\"https:\u002F\u002Fopenai.com\u002F\" rel=\"nofollow ugc\">OpenAI\u003C\u002Fa> API for build embedding and then sends embedded request to vector database APIs for doing semantic search:\u003Ca href=\"https:\u002F\u002Fwww.pinecone.io\u002F\" rel=\"nofollow ugc\">Pinecone\u003C\u002Fa>\u003Cbr \u002F>\n By using this plugin, you consent to sending data to OpenAI’s and\u002For Pinecone’s servers, which may include user queries and other relevant information.\u003Cbr \u002F>\nPlease ensure compliance with OpenAI’s & Pinecone terms and any applicable data privacy laws.\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>Service Providers\u003C\u002Fstrong>:\n\u003Cul>\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fopenai.com\u002F\" rel=\"nofollow ugc\">OpenAI\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.pinecone.io\u002Fproduct\u002F\" rel=\"nofollow ugc\">Pinecone\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Terms of Use\u003C\u002Fstrong>:\n\u003Cul>\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fpolicies\u002Fterms-of-use\u002F\" rel=\"nofollow ugc\">OpenAI API Terms\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.pinecone.io\u002Flegal\u002F\" rel=\"nofollow ugc\">Pinecone\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Privacy Policies\u003C\u002Fstrong>:\n\u003Cul>\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fpolicies\u002Fprivacy-policy\u002F\" rel=\"nofollow ugc\">OpenAI Privacy Policy\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.pinecone.io\u002Fprivacy\u002F\" rel=\"nofollow ugc\">Pinecone\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch3>Open AI\u003C\u002Fh3>\n\u003Cp>The OC3 Semantic box makes use of the API provided by [OpenAI](https:\u002F\u002Fopenai.com\u002Fblog\u002Fopenai-api or [Reference]https:\u002F\u002Fplatform.openai.com\u002Fdocs\u002Fapi-reference). This plugin does not collect any data from your OpenAI account apart from the number of tokens used. The information sent to the OpenAI servers mainly includes the content of your article and the specified context. The usage information displayed in the add-on’s settings is only for your reference. To obtain accurate information about your usage, it is important to check it on the \u003Ca href=\"https:\u002F\u002Fplatform.openai.com\u002Faccount\u002Fusage\" rel=\"nofollow ugc\">OpenAI website\u003C\u002Fa>. Additionally, please make sure to review their \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fprivacy\u002F\" rel=\"nofollow ugc\">Privacy Policy\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fterms\u002F\" rel=\"nofollow ugc\">Terms of Service\u003C\u002Fa> for more details.\u003C\u002Fp>\n\u003Ch3>Pinecone vector database\u003C\u002Fh3>\n\u003Cp>The OC3 Semantic box makes use of the API provided by \u003Ca href=\"https:\u002F\u002Fwww.pinecone.io\u002Fproduct\u002F\" rel=\"nofollow ugc\">Pinecone\u003C\u002Fa>. This plugin does not collect any data from your Pinecone account. The information sent to the Pinecone servers mainly includes the content of your website and the specified context. The usage information displayed in the add-on’s settings is only for your reference. To obtain accurate information about your usage, it is important to check it on the \u003Ca href=\"https:\u002F\u002Fwww.pinecone.io\u002Flearn\u002F\" rel=\"nofollow ugc\">Pinecone website\u003C\u002Fa>. Additionally, please make sure to review their \u003Ca href=\"https:\u002F\u002Fwww.pinecone.io\u002Fprivacy\u002F\" rel=\"nofollow ugc\">Privacy Policy\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.pinecone.io\u002Flegal\u002F\" rel=\"nofollow ugc\">Legal documents\u003C\u002Fa> for more details.\u003C\u002Fp>\n\u003Ch3>Disclaimer\u003C\u002Fh3>\n\u003Cp>The OC3 Semantic box is a plugin that allows users to integrate their websites with AI services such as OpenAI’s ChatGPT, Pinecone vector database https:\u002F\u002Fwww.pinecone.io\u002F. In order to use this plugin, users must have their own API keys and adhere to the guidelines provided by the chosen AI services and or vector database services. When utilizing the OC3 Semantic box, users are required to monitor and oversee the content produced by the AI or vector database, as well as handle any potential issues or misuse. The developer of the OC3 Semantic box plugin and other related parties cannot be held responsible for any problems or losses that may arise from the usage of the plugin or the content generated by the AI and\u002For by vector database services. Users are advised to consult with a legal expert and comply with the applicable laws in their jurisdiction. OpenAI, ChatGPT, and related marks are registered trademarks of OpenAI. Author of this plugin is not a partner of, endorsed by, or sponsored by OpenAI. Also,  author of this plugin is not a partner of, endorsed by, or sponsored by Pinecone Systems, Inc.\u003C\u002Fp>\n","Semantic search of website content with meaning...",857,"2025-10-03T23:20:00.000Z","6.8.6","5.6","7.0",[49,82,19,20,21],"ai-embedding","https:\u002F\u002Fdownloads.wordpress.org\u002Fplugin\u002Foc3-semantic-box.1.0.5.zip",{"slug":85,"name":86,"version":39,"author":87,"author_profile":88,"description":89,"short_description":90,"active_installs":11,"downloaded":91,"rating":11,"num_ratings":11,"last_updated":92,"tested_up_to":93,"requires_at_least":94,"requires_php":47,"tags":95,"homepage":97,"download_link":98,"security_score":25,"vuln_count":11,"unpatched_count":11,"last_vuln_date":26,"fetched_at":27},"vecpost","VecPost AI Search for Posts","krunalbalas","https:\u002F\u002Fprofiles.wordpress.org\u002Fkrunalbalas\u002F","\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",[96,18,50,20,21],"ai-search","https:\u002F\u002Fgithub.com\u002Fkrunalb18\u002Fvecpost","https:\u002F\u002Fdownloads.wordpress.org\u002Fplugin\u002Fvecpost.1.0.0.zip",{"slug":100,"name":101,"version":39,"author":102,"author_profile":103,"description":104,"short_description":105,"active_installs":106,"downloaded":107,"rating":11,"num_ratings":11,"last_updated":108,"tested_up_to":93,"requires_at_least":109,"requires_php":79,"tags":110,"homepage":23,"download_link":116,"security_score":25,"vuln_count":11,"unpatched_count":11,"last_vuln_date":26,"fetched_at":27},"search-engines-blocked-warning","Search engines blocked warning","apasionados","https:\u002F\u002Fprofiles.wordpress.org\u002Fapasionados\u002F","\u003Cp>The plugin shows a warning in the WordPress administration header when the option “Search Engine Visibility: Discourage search engines from indexing this site” is enabled.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>It’s very important when moving a website from staging or development to production to remember to switch this option off. Or even better never switch it on.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cblockquote>\n\u003Cp>SETTINGS \u002F READING “Search Engine Visibility: Discourage search engines from indexing this site”: Checking this box tells search engines to completely avoid inspecting \u002F indexing the site’s contents, meaning that the site will not show up in search results.\u003C\u002Fp>\n\u003C\u002Fblockquote>\n\u003Ch4>What can I do with this plugin?\u003C\u002Fh4>\n\u003Cp>This plugin shows a WARNING in the administration header of the website when “Search Engine Visibility: Discourage search engines from indexing this site” is enabled.\u003C\u002Fp>\n\u003Ch4>What ideas is this plugin based on?\u003C\u002Fh4>\n\u003Cp>This plugin is based on the idea of the \u003Ca href=\"https:\u002F\u002Fwordpress.org\u002Fplugins\u002Fdiscourage-search-engines-notifier\u002F\" rel=\"ugc\">“Discourage Search Engines Notifier”\u003C\u002Fa> plugin.\u003C\u002Fp>\n\u003Ch4>System requirements\u003C\u002Fh4>\n\u003Cp>PHP version 5.6 or greater.\u003C\u002Fp>\n\u003Ch4>Search engines blocked warning Plugin in your Language!\u003C\u002Fh4>\n\u003Cp>This first release is avaliable in English and Spanish. In the “languages” folder we have included the necessary files to translate this plugin.\u003C\u002Fp>\n\u003Cp>If you would like the plugin in your language and you’re good at translating, please drop us a line at \u003Ca href=\"https:\u002F\u002Fapasionados.es\u002Fcontacto\u002Findex.php?desde=wordpress-org-apa-search-engine-blocked-warning-home\" rel=\"nofollow ugc\">Contact us\u003C\u002Fa>.\u003C\u002Fp>\n\u003Ch4>Further Reading\u003C\u002Fh4>\n\u003Cp>You can access the description of the plugin in Spanish at: \u003Ca href=\"https:\u002F\u002Fapasionados.es\u002Fblog\u002Faviso-de-bloqueo-de-buscadores-wordpress-plugin-7749\u002F\" rel=\"nofollow ugc\">Aviso de bloqueo de buscadores | WordPress Plugin\u003C\u002Fa>.\u003C\u002Fp>\n\u003Ch3>Contact\u003C\u002Fh3>\n\u003Cp>For further information please send us an \u003Ca href=\"https:\u002F\u002Fapasionados.es\u002Fcontacto\u002Findex.php?desde=wordpress-org-apa-search-engine-blocked-warning\" rel=\"nofollow ugc\">email\u003C\u002Fa>.\u003C\u002Fp>\n","Shows a warning in the WordPress administration header when the option \"Search Engine Visibility: Discourage search engines from indexing this si …",500,3139,"2026-01-27T14:11:00.000Z","4.0.1",[111,112,113,114,115],"block","discourage-search-engines","robots","robots-txt","search-engine-visibility","https:\u002F\u002Fdownloads.wordpress.org\u002Fplugin\u002Fsearch-engines-blocked-warning.1.0.0.zip",{"error":118,"url":119,"statusCode":120,"statusMessage":121,"message":121},true,"http:\u002F\u002Flocalhost\u002Fapi\u002Fplugins\u002Fritriever\u002Fbundle",404,"no bundle for this plugin yet",{"slug":4,"current_version":6,"total_versions":123,"versions":124},1,[125],{"version":6,"download_url":24,"svn_tag_url":126,"released_at":26,"has_diff":127,"diff_files_changed":128,"diff_lines":26,"trac_diff_url":26,"vulnerabilities":129,"is_current":118},"https:\u002F\u002Fplugins.svn.wordpress.org\u002Fritriever\u002Ftags\u002F0.2.3\u002F",false,[],[]]