AI EngineeringEdTech
AI-powered personalization that lifted course completion by 47%
Shipped a RAG-based recommendation pipeline into LearnPath’s LMS for 100k+ students, with sub-200ms responses.
LearnPath AI
47%
More completions
38%
Better retention
< 200ms
AI latency
100k+
Students served
The challenge
LearnPath needed to personalize learning paths for 100,000+ students using AI, but lacked the ML infrastructure, expertise, and integration know-how to implement it.
Our approach
- Built a retrieval-augmented generation pipeline with vector embeddings over their course content.
- Integrated an LLM for learning recommendations and tuned prompts against real student outcomes.
- Deployed low-latency inference and wired it into the existing LMS without a rebuild.
What we shipped
A RAG recommendation pipeline with pgvector embeddings and an LLM, integrated into LearnPath’s LMS with sub-200ms inference.
Stack
PythonFastAPILLM APIsPostgreSQLpgvectorAWS
“We had the idea and the data but no path to ship it. They built the whole pipeline and plugged it into our LMS — completion rates moved within a month.”
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