by rioriost
0 (0 reviews)
RiTriever
Adds RAG-style vector retrieval to WordPress search using native database vector indexes and configurable embeddings.
Compatible with WP 7.0.2
v0.2.3
Current Version v0.2.3
Updated 2 weeks ago
Last Update on 03 Jul, 2026
Refreshed 6 hours ago
Last Refreshed on
Rank
#60,908
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No change
Active Installs
0+
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No change
KW Avg Position
71.8
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No change
Downloads
70
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Total downloads
Support Resolved
0%
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No change
Rating
0%
Review 0 out of 5
0
(0 reviews)
Next Milestone 10
0+
10+
17,066
Ranks to Climb
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Growth Needed
8,000,000
Active Installs
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Rank Changes
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Tracked Keywords
Showing 4 of 4| Keyword | Position | Change | Type | Updated |
|---|---|---|---|---|
| embeddings | 33 | — | Tag | 1 day ago |
| rag | 42 | — | Tag | 1 day ago |
| vector search | 70 | — | Tag | 1 day ago |
| semantic search | 142 | — | Tag | 1 day ago |
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Start Tracking FreePlugin Details
- Version
- 0.2.3
- Last Updated
- Jul 03, 2026
- Requires WP
- 6.6+
- Tested Up To
- 7.0.2
- PHP Version
- 8.1 or higher
- Author
- rioriost
Support & Rating
- Rating
- ☆ ☆ ☆ ☆ ☆ 0
- Reviews
- 0
- Support Threads
- 0
- Resolved
- 0%
Keywords
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Frequently Asked Questions
Common questions about RiTriever
OpenAI and Azure OpenAI are supported as external hosted embedding providers.
Yes. Ollama, LM Studio, Infinity, TEI, and Custom HTTP endpoints are available for local or self-hosted embeddings.
Only when an external embedding provider is configured. See the External services section for details.
Yes. MariaDB 11.7 or later is the primary supported target for native vector columns and indexes.
The vector table must be rebuilt. Run initialization again after changing target language, provider, model, dimensions, or vector distance settings.