Alex Rivera
Verified ContributorLead AI & RAG Engineer
OmniAgent AI Support Platform
Autonomous customer service intelligence with RAG and dynamic calendar booking
Project Overview
OmniAgent is an enterprise-grade AI customer support agent capable of ingesting thousands of internal PDF documents, API specs, and past ticket histories to resolve complex technical queries autonomously.
The Challenge
The client was drowning in 5,000+ repetitive support tickets weekly, resulting in 24-hour response delays and skyrocketing human support payroll.
The Architecture Solution
We engineered a sub-second Retrieval-Augmented Generation (RAG) pipeline utilizing Pinecone vector indexes, GPT-4o contextual synthesis, and automated Google Calendar API scheduling.
Technical Architecture Highlights
- Vector embeddings generated via text-embedding-3-small with metadata chunking.
- Hybrid keyword and semantic search layer ensuring 99.8% factual retrieval accuracy.
- FastAPI asynchronous streaming endpoints handling 500+ concurrent chats.
- Automated human-in-the-loop fallback when confidence drops below 85%.
Key Features & Capabilities
Autonomous Ticket Resolution
Answers complex customer queries with factual citations directly from company knowledge bases.
Direct Meeting Scheduling
Analyzes intent and books qualified enterprise leads directly into executive Google Calendar slots.
Real-Time Multi-Language Translation
Supports instant bilingual query translation across 14 languages with zero latency overhead.
Sentiment & Escalation Engine
Detects frustrated customers and escalates conversations to senior engineers in Slack.
“OmniAgent completely revolutionized our support workflow. We cut our ticket turnaround time from 24 hours to 2 seconds while maintaining a 98% satisfaction rating.”
Technology Stack
About the Contributor
Senior AI Engineer specializing in large language model fine-tuning, vector search databases, and autonomous multi-agent systems.
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