Our Retrieval-Augmented Generation (RAG) system enables large organizations to interface LLMs with private files, PDFs, and internal systems safely, eliminating expensive fine-tuning cycles while preventing factual hallucinations completely.
RAG Corporate Chatbot
Intelligent chatbot for website user guidance and answering based on corporate knowledge base
An advanced conversational interface engineered to answer exclusively from your verified enterprise repositories. By pairing state-of-the-art vector lookup with specialized language models, it eliminates data leakage and hallucinations completely.
About RAG Corporate Chatbot
Core Uses
Answering complex customer inquiries based on active product specs
1
Internal HR assistant answering staff questions regarding policies
2
Advanced semantic search across millions of heterogeneous data files
3
Deflecting support ticket volume through reliable self-service automation
4
Key Features
Connects to organizational knowledge and provides answers based on reliable sources
Specialized support for the Persian language and Persian organizational documents
Easy installation as a widget on websites
Ability to define response scope and control the sources used
Ability to update the chatbot’s knowledge as organizational documents change
Reduces unreliable responses by relying on the organization’s proprietary content
Suitable for use on public websites, customer portals, and internal systems
Extensible for integration with CRM, ticketing systems, or organizational knowledge bases
Request a Consultation
Please fill out the form below for collaborations or consultations. Our experts will get in touch with you as quickly as possible.
