Free course13 modules
Enterprise RAG on Your Own Infrastructure
Build production RAG without cloud dependencies
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Built for CTOs, VP Engineering, senior architects, ML platform engineers
What you'll learn
Self-hosted economics — real cost comparison of cloud RAG vs own infrastructure at TB scale
Embedding models — GTE-Qwen2, BGE-M3, Nomic Embed and when to use which
Chunking that works — semantic, structural, and multi-granularity strategies beyond 512-token splits
vLLM deployment — hardware selection, quantisation, batching, and per-query cost modelling
Tiered architecture — L1/L2/L3 caching with query routing and ambient RAG
Knowledge graphs — automatic entity and relationship extraction from documents
13 modules
We'll assess your document corpus, design the pipeline, select your model stack, and build a deployment plan — tailored to your infrastructure and compliance requirements.
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