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About the Webinar
Developing effective retrieval-augmented generation (RAG) applications is essential for enterprises aiming to enhance AI accuracy and efficiency. This webinar focuses on the practicalities of building robust and scalable RAG systems. We’ll explore the crucial components, including database and AI, data lakes, security and compliance, observability and monitoring, distributed HA microservices, and message queue, all necessary for a comprehensive RAG pipeline. The session will detail the RAG application workflow, from raw content ingestion and document preprocessing to generating vector embeddings and utilizing large language models (LLMs) for grounded answer generation.
