AI & Automation
Custom AI Business Chatbot
Discipline
AI / RAG Chatbot
RAG-powered chatbot trained on company knowledge base. 80% query accuracy, deployed in days.

The brief
What it is and how it was built.
A general chatbot answers general questions. A chatbot that has read your product documents, procedures, FAQs, price lists and past support tickets can answer the questions your staff get every day, the same way every time.
Golden Sea builds these chatbots with Dify to orchestrate the steps and Pinecone to store the knowledge. You upload your documents (PDFs, Notion pages, Google Docs, web pages), the system splits them into passages, and when someone asks a question it finds the relevant passages first. The answer is built from your real content, not made up.
The language model, GPT-4 or Claude depending on the project, turns those passages into a natural reply. Its instructions set the tone, the topics it may answer and the point where it passes the conversation to a person.
The chatbot can sit in a website chat widget, Slack, WhatsApp Business or LINE. Staff without technical skills update the knowledge, read conversation logs, rate answers and track accuracy from a dashboard. A typical project takes 5 to 10 working days from kickoff to launch, and accuracy on the client's own knowledge is above 80%.
Scope delivered
What we delivered.
- 01Answers come from your own documents (RAG)
- 02Over 80% accuracy on company-specific questions
- 03Works in Slack, WhatsApp, website chat and more
- 04Admin panel to manage the knowledge base
- 05Hands the conversation to a person when needed
Category
AI & Automation
Technology
Dify · LLM (GPT-4 / Claude) · Pinecone · Python · FastAPI · React · Slack / WhatsApp API
Studio
Golden Sea Studios
Ho Chi Minh City, Vietnam
This project proves
Custom AI AgentA RAG chatbot grounded in the company's own documents and SOPs, with handover to human agents.
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