AI-Powered Cisco Bug Database Intelligence
The Challenge
Technoxi was working with a massive, unstructured bug database containing millions of Cisco product issues accumulated over decades. Their customers needed to quickly analyze problems by simply describing symptoms, but the database had no defined structure for Cisco product versions, inconsistent data formats, and no standardized categorization system. Traditional search methods were failing to provide meaningful results from this chaotic data landscape.
The existing system required customers to know exact product codes, specific error messages, or detailed technical specifications just to find relevant bug reports. This created a massive barrier for troubleshooting, often forcing engineers to spend hours manually sifting through irrelevant results. Technoxi needed an AI solution that could understand natural language symptom descriptions and provide holistic insights about machine problems and shortcomings.
Our Approach
We built a revolutionary hybrid search system that combines text search, vector embeddings, and graph databases to create intelligent indexes for unstructured Cisco bug data. The solution transforms natural language symptom descriptions into comprehensive technical insights through advanced AI processing and relationship mapping.
Hybrid Search Architecture
- •Elasticsearch for full-text search capabilities
- •Vector embeddings for semantic similarity matching
- •Neo4j graph database for relationship modeling
AI-Powered Data Structuring
- •NLP pipeline for Cisco product version normalization
- •Symptom-to-solution mapping algorithms
- •Natural language query processing and intent recognition
Key Results
Technology Stack
Search & Indexing
AI & NLP
Backend & API
"Intellinesia transformed our impossible Cisco bug database into an intelligent system that understands natural language. Our customers can now describe symptoms in plain English and get comprehensive insights about their issues. This breakthrough made the difference between hours of frustration and instant problem resolution."
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