CourseMate AI
GenAI & RAG PipelineApr 2026 – May 2026
Developed a high-performance RAG-driven application tailored for context-aware technical document synthesis and context retrieval execution. Utilized advanced segmentation logic to split structural data assets, converting unstructured textbook formats into persistent high-dimensional embeddings optimized for exact matches.
- Engineered MMR-based (Maximal Marginal Relevance) retrieval structures inside ChromaDB vectors to reduce token generation hallucination metrics.
- Integrated FastAPI microservice endpoints connecting Mistral AI modules to scale processing execution rates.