Conversational support, reimagined with OpenAI.

Tactara’s Voice Agent is a plug-and-play AI application that transforms your documentation into a real-time voice assistant for customer support. Built on OpenAI's GPT-4o and Text-to-Speech (TTS) stack, this system crawls through technical docs, generates semantic embeddings, and delivers answers in natural-sounding speech — all through a clean Streamlit UI.

• Crawls documentation using Firecrawl
• Parses and stores structured data in Qdrant
• Embeddings via FastEmbed for lightning-fast semantic search

• Documentation Processor: Translates structured docs into clear, human-readable answers
• TTS Agent: Converts answers into lifelike speech with adjustable voice options
• Voice Customization: Choose from multiple OpenAI voices like nova, shimmer, onyx, and more

• Built with Streamlit for quick deployments
• Audio player with download support
• Live progress indicators for transparency during processing

git clone https://github.com/Tactara/customer_support_voice_agent.git
cd customer_support_voice_agent

pip install -r requirements.txt

You'll need credentials from:

• OpenAI
• Qdrant Cloud
• Firecrawl

Update the config or input via the sidebar UI.

streamlit run customer_support_voice_agent.py

• Enter your API keys via the Streamlit sidebar
• Paste a documentation URL (limit: 5 pages per crawl)
• Select a voice from the dropdown
• Click “Initialize System”
• Ask a question → Get spoken + written answers in real time

• Cloud Service Providers needing automated Tier-1 support
• Internal IT teams seeking self-service documentation tools
• Developer platforms with complex user documentation

Built with ❤️ by Tactara