# Build a WordPress RAG chatbot with OpenAI, Qdrant or MongoDB Atlas

> Quick overview Build a WordPress chatbot that answers questions from your site content using Retrieval-Augmented Generation. n8n handles indexing and chat orchestration, while Qdrant or MongoDB Atlas provides vector search and OpenAI generates context-grounded responses. How it works 1. Content indexing — WordPress content is retrieved, cleaned, chunked, embedded, and stored in the selected vector database. 2. Intent routing — Incoming questions are classified so conversational requests, content searches, and optional profile/skills queries can follow different paths. 3. Semantic retrieval — Relevant chunks are retrieved by meaning rather than exact keyword matching. 4. Reranking — Cohere can rerank retrieved documents before response generation to improve relevance. 5. Response generation — OpenAI generates an answer using the retrieved context and configured assistant behavior. 6. WordPress delivery — The supplied WordPress integration exposes the chatbot through a responsive fronten

- **Domain**: `n8n-workflow-13291.n8n.io`
- **Provider**: n8n.io (https://n8n.io)
- **Kind**: workflow
- **Live-responds (last probe)**: None
- **Signed card**: False
- **Streaming**: False
- **Quality score**: 40%

## URLs
- Agent card: https://n8n.io/workflows/13291
- Page (HTML): https://agenstry.com/agents/n8n-workflow-13291.n8n.io
- Documentation: https://n8n.io/workflows/13291