The Problem
An AI consulting company wanted to offer clients a mentoring system based on extensive documents, guides, and knowledge bases — but operable through natural speech, not a chat interface. Text-based chatbots felt too impersonal; classical search systems didn't deliver contextual answers.
The Solution
We built a three-layer voice AI system: (1) OpenAI Whisper transcribes spoken queries into text in real time. (2) A RAG architecture with LangChain searches the document base for the most relevant answer source — no hallucinations, only source-based information. (3) ElevenLabs synthesizes the AI response back into a human-like voice.
The result is a fully end-to-end voice conversation: the user speaks, the system responds as a natural voice — based on verified documents.
The Results
Related Service
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