RAG & app with WordPress content

How it works

1. 1.Extract WordPress content and split it into manageable chunks for processing
2. 2.Convert text chunks into numerical embeddings using OpenAI's embedding model
3. 3.Store embeddings in Postgres and Supabase databases for fast retrieval and querying
4. 4.Process incoming chat messages through the AI agent and route them to the appropriate handler
5. 5.Search and retrieve the most relevant content from the vector store based on semantic similarity
6. 6.Generate accurate answers using OpenAI's language model while maintaining context and conversation memory

Use cases

• Intelligent customer support system answering questions based on your company's knowledge base
• Advanced internal search engine that understands meaning beyond literal text matching
• Automated advisory platform delivering consistent answers backed by trusted content
• Employee onboarding tool helping new staff find answers to common questions quickly

Requirements

• Valid OpenAI API key for accessing language models and embeddings
• Configured and securely connected Postgres or Supabase database instance
• Active WordPress site with organized and extractable content
• Minimum content volume (hundreds of pages) to ensure result quality

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.