Emtrade RAG & LLM Automation

Full-Stack Developer

PT Emtrade Teknologi Finansial

2026in-progress

Overview

Retrieval-augmented generation layer over Emtrade's research reports, course material, and market updates, plus LLM automation for the repetitive parts of content and support workflows.

Case Study

Problem

Identified key challenges and requirements for the project implementation.

Approach

Designed and implemented solutions using modern architecture patterns and best practices.

Results

Delivered measurable impact with improved performance and user experience.

Technical Highlights

✓Retrieval over research reports, lesson transcripts, and daily market updates
✓Answers grounded in cited source material rather than free-form generation
✓LLM automation for summarising research and drafting recurring content
✓Ingestion jobs that keep the retrieval index in step with newly published material
✓Guardrails so responses stay educational and never read as buy/sell instructions

Tech Stack

RAGLLM AutomationNode.jsGoogle CloudKafkaREST API