I will a custom ai voice booking agent and rag pipeline


Level 1
About this gig
Are you looking to automate your customer interactions and internal data retrieval?
As an Automation & Full-Stack Engineer, I specialize in building production-ready AI solutions that actually drive business value. Whether you need a sophisticated voice agent to handle customer bookings or a precise Retrieval-Augmented Generation (RAG) pipeline to extract insights from your data, I engineer systems built for reliability and scale.
What I Offer:
- AI Voice Booking Agents: Development of ultra-low latency voice assistants using frameworks like LiveKit and Hume, capable of handling multiple concurrent calls seamlessly.
- RAG Pipeline Development: Advanced data extraction and grounding techniques so your AI responses are factual, context-aware, and tied directly to your business data.
- Autonomous Workflows: Full-stack integration of AI models into your existing operations to reduce manual workload.
- Custom Integrations: Connecting necessary plugins (like Anam) and external APIs to ensure your AI agent can take real-world actions, such as scheduling appointments or logging information.
Why Choose This Service? I focus on the entire architecture. From the backend data extraction to the final A
Get to know Hasansyed
Building AI Agents and Business Automation
Level 1
- FromPakistan
- Member sinceJan 2023
- Avg. response time1 hour
- Last delivery4 months
Languages
English, Arabic, Spanish, French
My Portfolio
FAQ
What exactly is a RAG pipeline, and why does my business need it?
Retrieval-Augmented Generation (RAG) is a technique that connects an AI model to your specific business data. Instead of generating generic responses, the AI searches your private knowledge base (e.g., PDFs, internal wikis, or database records) to find accurate, factual information before responding
Can the AI voice agent handle high call volumes?
Yes. By leveraging scalable infrastructure like LiveKit, the system can handle multiple concurrent calls effortlessly. The exact limit depends on your chosen backend deployment and API tier limits, but the architecture itself is built to handle concurrent traffic seamlessly without dropping calls.
