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RiTriever icon
Actively maintained Tested with WP 7.1 #6 in embeddings

RiTriever

Adds RAG-style vector retrieval to WordPress search using native database vector indexes and configurable embeddings.

Active installs<10New
Downloads · 30d106▲ +24.7% vs prev. 30d
Rating—0 reviews
Health score64/100Good
All-time downloads276Since Jul 2026
Support resolved—No recent threads
RequiresWP 6.6PHP 8.1+
Downloads · 7d18▼ -69% week over week
Our verdict

Solid choice

RiTriever is a solid plugin choice in 2026, with a few things worth checking first. Was last updated 2 weeks ago, and scores 64/100 on our health check.

  • Actively developed — last update 2 weeks ago
  • Tested with the latest WordPress (7.1)
  • Small user base (<10 active installs)
  • Very few reviews so far
  • Needs PHP 8.1 or newer

How does it stack up?

Side-by-side on installs, updates, ratings & support

Daily downloads

91827Jul 6Aug 19Oct 3
Yesterday2
Daily average (1y)3
Peak day36Sep 23, 2026
Last 12 months286

Download spikes usually follow a new release — each site that auto-updates counts as a download.

Rankings

Where RiTriever stands today

WordPress.org search rankings

Live position in the plugin search, top 100
KeywordPositionCompeting pluginsCategory
embeddings >100 1,587 Best embeddings plugins →
rag #51 155 Best rag plugins →
search >100 10,000 Best search plugins →
semantic search >100 780 Best semantic search plugins →
vector search >100 386 Best vector search plugins →

About RiTriever

From the official readme · v0.2.5

Description

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.

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.

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. 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.

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.

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://make.wordpress.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. This service is provided by OpenAI: Terms of use https://openai.com/policies/terms-of-use/ and Privacy policy https://openai.com/policies/privacy-policy/.

Azure OpenAI sends embedding requests to your configured Azure OpenAI endpoint. This service is provided by Microsoft Azure: Terms of use https://www.microsoft.com/licensing/terms/productoffering/MicrosoftAzure/MCA and Privacy statement https://privacy.microsoft.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.

Installation

  1. Upload the ritriever folder to /wp-content/plugins/, or install the release ZIP from the WordPress admin.
  2. Activate RiTriever from the Plugins screen.
  3. Open Settings -> RiTriever.
  4. Run the database capability test.
  5. Choose the RAG target language.
  6. Configure and test the embedding provider.
  7. Initialize the index.

Frequently asked questions

Which external embedding providers are supported?

OpenAI and Azure OpenAI are supported as external hosted embedding providers.

Can I use a local embedding server?

Yes. Ollama, LM Studio, Infinity, TEI, and Custom HTTP endpoints are available for local or self-hosted embeddings.

Does this plugin send content to external APIs?

Only when an external embedding provider is configured. See the External services section for details.

Does it require native vector database support?

Yes. MariaDB 11.7 or later is the primary supported target for native vector columns and indexes.

What happens when I change the target language or embedding model?

The index becomes unavailable to hybrid search until initialization completes. Saving settings does not drop the existing vector table or automatically send every post to the provider. Back up the database and explicitly run initialization after changing target language, provider, model, dimensions, chunking, indexing scope, or vector index settings. Initialization rebuilds vectors and may incur embedding API charges.

How are post updates indexed?

After initialization, post, selected metadata, and taxonomy changes enter a background queue. Search reflects those changes when the queue processes them. WP-Cron needs site traffic or an external scheduler; keeping the settings page open is not a substitute for scheduled processing.

What happens when retrieval fails?

The original WordPress search remains available, including its native pagination. Failed retrievals are not cached as successful hybrid results. Healthy hybrid search uses a bounded candidate set and does not promise every native search match.

Does upgrading to 0.2.5 require initialization?

When upgrading from the published 0.2.4 or earlier, yes. Existing content hashes are not proof of storage in the new index generation. Back up the database, verify customized endpoints, and explicitly initialize once; external embedding providers may charge for reindexing. A previously overwritten endpoint must be re-entered. All WordPress source tables used for indexing must use InnoDB. If you already installed a generation-aware development build and its index is ready, the version change and front-end hook fix alone do not require another reindex. Replace the existing plugin rather than…

Changelog

Back up before upgrading. Published 0.2.4 or earlier requires explicit index initialization and may incur API charges. A ready index from a generation-aware development build can be kept. Replace the plugin; do not uninstall. Fixes Visualizer-related front-end RAG suppression.

0.2.5

  • Restore front-end semantic search with Visualizer and other earlier pre_get_posts callbacks while preserving effective query constraints.
  • Add index generations, durable storage receipts, atomic vector and metadata writes, and protection against stale concurrent workers.
  • Fix Unicode chunk boundaries, reinitialization and republication skips, queue recovery, retry progress, and metadata/taxonomy synchronization.
  • Preserve customized embedding endpoints and locales; validate HTTP responses, vector ordering, dimensions, and numeric values.
  • Preserve native search and pagination on retrieval failure; fix cache invalidation, title decoration, multisite isolation, and uninstall cleanup.
  • Add regression coverage and Apple Container compatibility/release gates.

0.2.4

  • Confirm compatibility with the stable WordPress 7.1 release and run Plugin Check on WordPress 7.1.

0.2.3

  • Resolve remaining Plugin Check SQL preparation warnings for dynamic queue, vector, and uninstall queries.

0.2.2

  • Escape search title filter output consistently and prepare plugin table identifiers in direct SQL calls.

0.2.1

  • Tighten WordPress.org review gates and clarify external embedding API documentation.

0.2.0

  • Rename the public plugin name and WordPress.org slug to RiTriever.
  • Add RAG target language selection based on WordPress-supported locales.
  • Document why direct embedding APIs are used instead of WordPress AI Client.
  • Add WordPress.org release gates for PHPCS, Plugin Check, readme, i18n, and package contents.

Full changelog on WordPress.org →

For developers

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Best RiTriever alternatives

All embeddings plugins →
Alternatives
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2 AI Provider for Voyage AI AI Provider for Voyage AI Standalone Voyage AI text-embedding provider for the WordPress AI Client. by Kingsley Ibietela Felix <10 ★★★★★★★★★★ No reviews 1 day ago 64
3 NoughtDigital RAG Assistant NoughtDigital RAG Assistant Build a RAG system from WordPress content using OpenAI embeddings, Qdrant vector search… by noughtdigital <10 ★★★★★★★★★★ No reviews 3 months ago 55
4 Creator Assistant Hub Creator Assistant Hub The AI infrastructure for your WordPress content. Vectorize posts with OpenAI embeddings… by Alessandro Lioce <10 ★★★★★★★★★★ No reviews 4 weeks ago 64
5 AIT AI Related Posts AIT AI Related Posts Uses AI embeddings to show related posts/pages by meaning (semantic similarity), without… by Rustaurius <10 ★★★★★★★★★★ No reviews 1 month ago 60
6 VecPost AI Search for Posts VecPost AI Search for Posts AI-powered semantic search for WordPress posts. Understands meaning, not just keywords… by krunalbalas <10 ★★★★★★★★★★ No reviews 4 months ago 42
7 Similo: AI Related Posts Similo: AI Related Posts AI-powered related posts for content-heavy WordPress blogs. Connects articles by meaning… by plot <10 ★★★★★★★★★★ No reviews 4 months ago 49
9 Juanjo Labs Semantic Related Posts Juanjo Labs Semantic Related Posts AI-powered semantic related posts (embeddings), plus category/tags/hybrid modes and… by Juanjo Labs <10 ★★★★★★★★★★ No reviews 1 month ago 55

FAQ

RiTriever: quick answers

Straight answers, pulled from live WordPress.org data.

Live data from WordPress.org · checked Oct 4, 2026

Is RiTriever free?

Yes. RiTriever is free to download and use from the official WordPress.org plugin directory.

Is RiTriever safe to use in 2026?

RiTriever is a solid plugin choice in 2026, with a few things worth checking first. Was last updated 2 weeks ago, and scores 64/100 on our health check.

How many websites use RiTriever?

RiTriever is active on <10 WordPress websites and has been downloaded 276 times since it launched in July 2026. It was downloaded 106 times in the last 30 days.

Does RiTriever work with WordPress 7.1?

Yes. The developer has tested RiTriever up to WordPress 7.1.2, the latest release. It requires WordPress 6.6 or newer.

What PHP version does RiTriever need?

RiTriever requires PHP 8.1 or higher. Most hosts run PHP 8.x today, so it works on any modern WordPress hosting.

When was RiTriever last updated?

The latest version, 0.2.5, was released on September 23, 2026 (2 weeks ago).

Who makes RiTriever?

RiTriever is developed and maintained by rioriost.

What are the best alternatives to RiTriever?

The most popular alternatives to RiTriever are Ariadne Related Posts (<10 installs), AI Provider for Voyage AI (<10 installs) and NoughtDigital RAG Assistant (<10 installs).

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