About this plugin
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.
7 or later. It can index posts, pages, and configured public post types, then use those vectors during front-end search.
Main features:
- RAG-style search blending with standard WordPress search.
- Native vector storage in the WordPress database.
- OpenAI and Azure OpenAI support for external embedding APIs.
- Local or self-hosted embedding support through Ollama, LM Studio, Infinity, TEI, or Custom HTTP endpoints.
- RAG target language selection from WordPress-supported locales.
- Admin diagnostics for database support, embedding providers, indexing progress, and live vector queries.
External API use is optional. 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.
External services
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.
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. org/core/2026/03/24/introducing-the-ai-client-in-wordpress-7-0/
OpenAI sends embedding requests to OpenAI for text-embedding-3-small or text-embedding-3-large. com/policies/privacy-policy/.
Azure OpenAI sends embedding requests to your configured Azure OpenAI endpoint. com/privacystatement.
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.