Internal Chatbot with RAG
AI chatbot powered by company knowledge base
Our Internal Chatbot with RAG (Retrieval-Augmented Generation) technology provides instant access to company knowledge through natural language queries. The system understands context and provides accurate, up-to-date information from internal documentation, policies, and knowledge bases.
Key Features
- Natural language understanding and query processing
- RAG architecture for accurate, contextual responses
- Integration with multiple knowledge sources
- Conversational interface with chat history
- Citation tracking and source references
How It Works
The chatbot uses RAG technology to retrieve relevant information from company knowledge bases before generating responses. This ensures answers are accurate and grounded in actual company documentation. The system continuously learns from interactions and updates its knowledge base automatically.
Impact
Employees report finding answers 80% faster than traditional search methods. The system handles over 10,000 queries per month, with 92% accuracy rate. Support ticket volume has decreased by 35% as employees can now self-serve for common questions.