This n8n workflow automates the extraction, enrichment, and indexing of WordPress content, including posts and pages, into a vector store for advanced search and AI applications. It triggers on a schedule and retrieves categories and tags from WordPress, processes content with OpenAI embeddings, and stores the data in Pinecone, enabling powerful semantic search capabilities. Practical for content searchable AI systems or knowledge management, this workflow streamlines the entire process from content export to vector indexing.
Automated Content Indexing with AI and WordPress
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterTokenSplitter, @n8n/n8n-nodes-langchain.vectorStorePinecone, aggregate, httpRequest, merge, scheduleTrigger, set, stickyNote |
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