Building Production RAG systems with AWS Bedrock and Knowledge Bases

Join us on February 21st for an in-depth technical session with Edna Mugoh, a Machine Learning and Software Engineer at Jacaranda Health.

Edna specializes in deploying LLMs and NLP models within the maternal healthcare domain—where accuracy and reliability are life-critical. In this session, she will move beyond the hype to show you how to build and scale real-world AI solutions using AWS Bedrock and Knowledge Bases.

### What we’ll cover:

• Production-Grade RAG: Moving Retrieval-Augmented Generation from a "laptop demo" to a robust production system.
• AWS Bedrock & Knowledge Bases: How to leverage managed AWS services to handle document ingestion, embedding, and vector storage.
• Real-World Impact: Insights into how Jacaranda Health uses these technologies to support maternal health outcomes in Kenya.
• NLP Challenges: Navigating the complexities of language models in specialized domains.

### 📅 Event Details:

• Speaker: Edna Mugoh (ML/Software Engineer, Jacaranda Health)
• Date: 21st February 2026
• Topic: Building Production RAG systems with AWS Bedrock and Knowledge Bases

Who should attend? Software Engineers, Data Scientists, and Cloud Architects interested in GenAI, RAG architecture, and using tech for social impact.