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Table of Contents Toggle OVERVIEWSCOPE OF WORKAI SolutionSOLUTIONS & STRATEGIESRESULTS AND IMPACTS – ARCHITECTUAL PATTERN OVERVIEW Our client, whose expertise is in the field of LLM, needed a system to evaluate and optimize Retrieval-Augmented Generation (RAG) pipelines for their specific data and use cases. The goal was to automate the process of testing various RAG modules and configurations to find the optimal pipeline for their unique requirements. Country: Korea Domain: Technology Services AI expertise: LLM Development process: Scrum SCOPE OF WORK RAG Pipeline Evaluation Modular RAG Components Automated Testing Cloud Integration Performance Metrics Auto-deployment to chat AI Solution Created a modular RAG pipeline architecture supporting various components Implemented comprehensive evaluation metrics for RAG performance Developed an automated system to test multiple RAG configurations Built a dashboard for visualizing evaluation results and comparisons Integrated the system with cloud services for data storage and processing Implemented auto-deployment of the best-performing RAG pipeline to a chatbot interface SOLUTIONS & STRATEGIES   RESULTS AND IMPACTS – ARCHITECTUAL PATTERN  

Table of Contents Toggle OVERVIEWSCOPE OF WORKAI SolutionSOLUTIONS & STRATEGIESRESULTS AND IMPACTS – ARCHITECTUAL PATTERN OVERVIEW Our client, a global tech talent platform connecting Korean developers with international opportunities, needed an intelligent system to standardize and localize professional profiles across markets. The goal was to develop an AI-powered solution that could bridge the gap between Korean and Western resume standards while preserving technical accuracy and cultural nuances. Country: Korea Domain: Professional Career Services AI expertise: LLM, Document Analysis SCOPE OF WORK The project encompasses development of a comprehensive template standardization system with cultural adaptation and ATS optimization. Implementation of an LLM-powered content generation pipeline with translation capabilities and quality controls. Development of a integrated document generation system handling multiple output formats and quality verification. AI Solution The intelligent template manager provides market-specific formats with dynamic cultural adaptation and format optimization. Advanced natural language processor using different LLM (currently used as GPT-4) drives content enhancement with multilingual translation capabilities. High-performance document generator delivers professional outputs across multiple formats with automated quality assurance. SOLUTIONS & STRATEGIES   RESULTS AND IMPACTS – ARCHITECTUAL PATTERN API response: <1s Concurrent generation: 10 resumes System uptime: 99.9% Translation accuracy: 92% Generation time: avg 3 minutes Daily throughput: 20-35 resumes

Table of Contents Toggle OVERVIEWSCOPE OF WORKAI SolutionSOLUTIONS & STRATEGIESRetrieval Augmented Generation QA System – Healthcare DomainRESULTS AND IMPACTS – ARCHITECTUAL PATTERN OVERVIEW Our client is a healthcare provider who wants to build a custom chatbot using existing model on their own database. The aim of this project is to deploy a custom RAG model on Mistral-7B using the Healthcare Provider’s data to serve as a virtual assistant to the customers to provide quick advices. This project incorporates the development of RAG, the integration of LLM model and the deployment of container to API services. Country: Singapore Domain: Healthcare AI expertise: RAG, LLM, Vector Database, Semantic Search SCOPE OF WORK RAG pipeline development LLM Integration Containerization and Deployment AI Solution Developing a RAG pipeline to customize and fact-check the output of the LLM model. Incorperating the use of semantic search on the vector database, rerankthe result and generate a prompt for the LLM model. Handling data ingestion for raw Json data via indexing pipeline for embedded chunks to be stored in the Database Using ELK stack to handle and monitor API requests. HIPAA Compliant SOLUTIONS & STRATEGIES Retrieval Augmented Generation QA System – Healthcare Domain RESULTS AND IMPACTS – ARCHITECTUAL PATTERN 24/7 Availability of the virtual assistant, reducing wait times by 80% 95% Accuracy in providing healthcare-related information, a 30% improvement over previous systems Handle 10,000+ concurrent users Without performance degradation 40% ​Increase in patient engagement with the healthcare information 95% Reduction in customer support costs 20% Decrease in unnecessary appointments thanks to improved information dissemination