3 papers
cs.IR2026
Multi-Agent Retrieval-Augmented Generation for Efficient Cloud Knowledge Base Search in Telecom SNOC Environment
Harish Saragadam, Sudhanshu Sharma, Ipsha Routray
Telecom Service and Network Operations Centers (SNOCs) rely on large collections of cloud documents, including Standard Operating Procedures (SOPs), vendor technical manuals, incid…
cs.IR2026
Hybrid Retrieval-Augmented Generation with Knowledge Graph Expansion, RRF Fusion, and Per-Chunk Grounded Evaluation for Enterprise Document Search
Harish Saragadam, Sudhanshu Sharma, Meghana Pujari
Getting accurate, grounded answers out of large enterprise document repositories is a difficult problem. Dense vector retrieval alone frequently performs poorly on queries that mix…
cs.LG2025
A Scalable and High Availability Solution for Recommending Resolutions to Problem Tickets
Harish Saragadam, Chetana K Nayak, Joy Bose
Resolution of incidents or problem tickets is a common theme in service industries in any sector, including billing and charging systems in telecom domain. Machine learning can hel…