I will build a wordpress ai search chatbot trained on your content


About this gig
Turn your WordPress content into an AI assistant that gives visitors relevant answers from your own posts, pages, and knowledge base.
I build custom WordPress RAG chatbots and AI search systems using OpenAI embeddings, Pinecone vector search, and supported LLMs such as GPT, Gemini, or Claude. Instead of giving generic answers, the system retrieves relevant website content first and uses it to generate grounded responses.
Depending on your package, I can also add source citations, content filtering, custom AI behavior, branded chat styling, document/PDF ingestion, and WordPress admin controls.
This is ideal for content-heavy websites, documentation portals, membership sites, LMS platforms, support knowledge bases, WooCommerce stores, and businesses that want visitors to find answers faster.
My background is in custom WordPress, PHP, APIs, CRM integrations, and complex backend systems, so I understand both the AI layer and the WordPress architecture behind it.
Message me with your website and use case before ordering.
Get to know Irshad Khan
AI Automation and API Integration Expert
- FromPakistan
- Member sinceApr 2018
- Last delivery7 years
Languages
English
FAQ
How does the WordPress RAG chatbot answer questions from my website content?
Your WordPress posts and pages are converted into AI embeddings and stored in a vector database like Pinecone. When a visitor asks a question, the system finds the most relevant content and sends it to an AI model like GPT, Gemini, or Claude to generate a grounded answer based on your website data.
What WordPress content can the AI chatbot use as its knowledge base?
It can use WordPress posts, pages, WooCommerce products, custom post types, FAQs, documentation, and selected categories as knowledge sources. Depending on the package, I can also add content filtering so the RAG chatbot only searches the content you want included.
Can I use OpenAI, Gemini, Claude, or another AI model?
Yes. The response layer can use supported models such as GPT, Gemini, or Claude, depending on your goals for quality, speed, cost, and workflow. The RAG setup can also use different embedding providers where required.
Can the AI chatbot show source links or citations with its answers?
Yes. The RAG chatbot can include source links, post titles, or references with its answers so users can verify where the information came from. This is especially useful for documentation, knowledge bases, educational content, support sites, and content-heavy WordPress websites.
Can I add PDFs or other documents to the AI knowledge base?
Yes. Depending on the package, I can add PDFs or other supported documents as knowledge sources alongside your WordPress content. The documents are processed, converted into embeddings, stored in the vector database, and used by the RAG chatbot to generate relevant answers.
What happens when I publish or update WordPress content?
The system can automatically process new or updated WordPress content, create fresh embeddings, and update the vector database so the RAG chatbot can use the latest information. This helps keep AI answers aligned with your current website content.
Can you build a self-hosted vector database or private AI setup?
Yes. I can work with self-hosted vector databases, private RAG setups, VPS deployment, or local AI models where required. Because infrastructure needs vary by server, database, storage, and model requirements, these projects are quoted separately through a custom offer.
What do you need from me before starting?
Please share your WordPress website, the type of content you want the AI chatbot to use, your preferred use case, and any special requirements such as citations, document uploads, content filtering, or admin controls. If you are unsure, just describe the problem you want the AI assistant to solve.

