Linux 软件免费装

在这里免费安装WordPress以及其他软件

Banner图

Gregius Data

开发者 hectorjarquin
gregiusteam
更新时间 2026年11月2日 11:37
PHP版本: 8.2 及以上
WordPress版本: 7.1
版权: GPL-2.0-or-later
版权网址: 版权信息

标签

ai postgresql semantic search rag embeddings

下载

1.0.1 1.0.0 1.0.2

详情介绍:

Gregius Data is an open-source orchestration layer for AI workflows in WordPress. It connects WordPress content with PostgreSQL-backed retrieval and AI provider workflows using familiar WordPress patterns. WordPress remains the source of truth. PostgreSQL runs alongside as a secondary execution layer for retrieval and vector operations. Key Features: How It Works
  1. Syncs your WordPress content to PostgreSQL (you choose what syncs)
  2. Runs retrieval operations from PostgreSQL-backed data
  3. Executes RAG generation with your configured AI provider (optional)
  4. Returns answer data with source metadata and governance context
  5. Captures interaction/log details for monitoring and review
Your WordPress stays on MySQL. PostgreSQL runs alongside as a secondary execution layer. Use Cases

安装:

Requirements Database Setup Managed (Recommended): Plugin Installation
  1. Navigate to Plugins
  2. Install and activate
  3. Navigate to Data
WP-CLI Commands Core command examples: Evaluation config templates are shipped inside the plugin under: Recommended writable local config location: Evaluation artifacts are written outside the plugin directory by default so they are not lost on plugin updates:

屏幕截图:

  • Register any supported model by type and provider, with its own key and limits.
  • Monitor each connection: uptime, health checks and database extension status.
  • Connect with PDO, or use Supabase over REST where no PHP extensions are available.
  • Control the sync lifecycle: retry queue, real-time updates and post statuses.
  • Choose which post types sync, and see drift measured per type as content changes.
  • Point attachments at a vision-capable model to extract text from PDFs before sync.
  • See coverage and drift for every embedding model attached to a connection.
  • Attach any registered embedding model to the selected connection in one step.
  • Generate vectors in batches for pending content, with live progress and a stop control.
  • Every install ships with factory prompts — system, security and evaluation.
  • The Evaluation prompt scores whether retrieved context actually answers the query.
  • Enable enhanced search, tune dual retrieval and monitor health from one screen.
  • Choose the connection and the embedding model that power semantic search.
  • Filter logs by level, component, connection and date to trace any pipeline.
  • Drop the RAG Assistant block into any page and point it at a PostgreSQL connection.
  • Assign a model to each role — embedding, agentic, rerank, evaluator, answer.
  • Set the placeholder, stream answers to the page and restrict it to logged-in users.

升级注意事项:

1.0.2 No action required — no schema or database changes. This release only adds progress feedback and aligns entity-content cleaning across connection types. 1.0.1 Supabase connections should re-run the schema SQL (or use the new "Update Schema" button) to install the two count functions and stamp schema version 1.0.1. Real-time sync is now enabled by default. 1.0.0 Initial public release. After activation, configure your PostgreSQL connection, run schema setup, and choose synchronized post types before enabling retrieval and generation workflows.

常见问题:

Does this replace my MySQL database?

No. WordPress stays on MySQL. PostgreSQL runs alongside as a secondary layer for retrieval operations. Your primary WordPress database is not replaced.

What happens if PostgreSQL is unavailable?

The WordPress site itself remains available, but retrieval operations that depend on PostgreSQL are affected until the connection is restored.

Do I need to know SQL?

No. The dashboard handles everything through a visual interface. You only need basic connection details (host, database name, credentials).

What data is synced to PostgreSQL?

Only content from the post types you choose for synchronization.

Which AI providers are supported?

Supported providers include OpenAI, Anthropic, Google Gemini, DeepSeek, Cohere, and TypeSafe (evaluation) when configured.

Do I need AI API keys to use the plugin?

No. PostgreSQL synchronization and retrieval infrastructure can be configured without AI API keys. API keys are only required when generation workflows are enabled.

Does this work with page builders?

Yes. The plugin syncs final post content regardless of how it's created (Gutenberg, Classic Editor, Page Builders, etc.).

How much does managed PostgreSQL hosting cost?

Supabase provides a free tier for evaluation. Paid costs depend on your usage and provider plan.

Can I sync PDF attachments for retrieval?

Yes. Enable the "attachment" post type in the Sync tab. A vision-capable model must be active first (the dashboard will guide you). Text is extracted from each eligible PDF and flows through the same search and vector pipeline as regular posts.

Which models can extract text from documents?

Google Gemini (native PDF input — recommended), OpenAI GPT-4o / GPT-4o-mini, and Anthropic Claude models. DeepSeek does not support document or vision input.

Does document extraction cost money?

Yes. Each eligible PDF is sent to your configured vision model once; unchanged files are not re-extracted. Cost depends on the model and file size — Gemini's native PDF text extraction is typically the most cost-effective.

更新日志:

1.0.2 1.0.1 1.0.0