Specialists in RAG-based AI chatbot development and deployment
An AI chatbot that answers from your data — live in 2 weeks
AI chatbot development is the practice of building custom chatbots on RAG (Retrieval-Augmented Generation) architecture and state-of-the-art LLMs, grounded in your company’s internal data. TreeSoop guarantees accurate answers through Korean-optimized embedding models and hallucination-prevention design, with every system architected and built by KAIST- and POSTECH-trained engineers. Rated 4.92/5 on Wishket, Korea’s largest dev-outsourcing platform — a top 0.1% partner.
Employee onboarding, internal policies, IT helpdesk, customer FAQs — skilled people are burning hours answering the same repetitive questions.
Even when employees use ChatGPT, it knows nothing about your internal data — so answers come back inaccurate, and sensitive information is at risk of leaking.
Customer inquiries pile up unanswered outside business hours — and that turns into churn and complaints.
A RAG (Retrieval-Augmented Generation) chatbot that searches your internal documents, manuals, and databases in real time — delivering accurate, hallucination-free responses.
Deploy simultaneously to the channels your employees and customers already use — your website, Slack, Microsoft Teams, and more.
Complex inquiries the chatbot can’t resolve are automatically escalated to the right person — with the full conversation context passed along intact.
Responses in Korean, English, Japanese, and more — deployed simultaneously to Slack, Teams, web widgets, and other channels from a single knowledge base.
For questions that require relational or multi-hop reasoning, vector search alone isn’t enough. We layer in GraphRAG — grounding answers in a domain ontology and knowledge graph — to further reduce hallucinations and make every answer traceable to its source.
We collect and clean your internal documents, FAQs, and manuals, then index them into a vector database.
We build a prototype around your core Q&A scenarios and run internal testing.
We connect the chatbot to your target channels — a web widget, Slack, or other messaging platforms.
We continuously improve answer quality based on real usage data.
We deliver a conversation-log analytics dashboard and hand over admin tools so your operations team can update the knowledge base directly.
An internal HR assistant that answers natural-language questions on employment rules, benefits, and leave policies
A CS chatbot that handles order lookups, return and refund guidance, and product questions automatically, 24 hours a day
An education-platform chatbot providing course-content Q&A, assignment guidance, and progress tracking
83%
Auto-resolution rate
Share of inquiries handled by the chatbot without human intervention
24/7
Always-on support
Continuous coverage, including nights and weekends
4 sec
Average response time
End-to-end response speed, RAG retrieval included
92%
User satisfaction
Chatbot answer-quality rating
Our experts will recommend the best approach for your project.
