HP-Business Edge
Bridging AI and business analytics: Our system enhances decision-making by efficiently retrieving and analyzing information from Business Documents
Read MoreRFQ Analysis
Extracts key insights from Request for Quotations (RFQs), answers user queries across multiple RFQs, and generates trends for better decision-making.
Telemetry Data Interpretation
Processes telemetry Excel sheets to provide meaningful insights, answering user queries on metrics like CPU utilization, memory usage, network traffic, and system performance trends.
Document Change Detection
Identifies differences between multiple document versions, highlighting key modifications to ensure accuracy and track changes efficiently.
Abstract
Problem Statement
Businesses often struggle to extract meaningful insights from large volumes of unstructured data, such as:
- Request for Quotations (RFQs): Multiple RFQs need to be analyzed for pricing, requirements, and trends.
- Telemetry Data: Large datasets containing system performance metrics like CPU utilization, memory usage, and network traffic.
- Versioned Documents: Tracking changes across different document versions is tedious and error-prone.
Traditional methods require extensive manual effort, making it time-consuming to identify trends, answer queries, and track changes across multiple documents. This inefficiency can lead to missed opportunities, inaccurate decision-making, and reduced operational effectiveness.
Our Solution
To overcome these challenges, we developed a Retrieval-Augmented Generation (RAG) system using AI Studio Z by HP, powered by the Llama 3.1 8B model. Our solution efficiently analyzes RFQs, telemetry data, and document version changes, extracting valuable insights and providing accurate responses to user queries across multiple documents.
The system leverages LangChain, HuggingFace, and Chroma Database for intelligent document retrieval and response generation.
Achievement and Impact
- Increased Efficiency – Reduces manual workload by automating data extraction and analysis.
- Faster Insights Generation – Provides real-time responses to complex business queries.
- Enhanced Decision-Making – Helps organizations identify trends, optimize system performance, and track document modifications effortlessly.
- Scalability & Adaptability – Can be extended to various industries, including finance, healthcare, and enterprise IT.
- Innovative & Future-Proof – Integrates cutting-edge AI and NLP techniques to enhance data intelligence workflows.
Omar Kashif Nazir
Frontend and Backend Developer, Researcher
Syed Ali Abbas
Team Lead, Frontend and Backend Developer, Researcher