Enterprise RAG: Architecting Production-Grade Retrieval-Augmented Generation
How we scaled a Retrieval-Augmented Generation (RAG) system to over 50,000 multi-page documents, resolving hallucinations and latency bottlenecks.
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How we scaled a Retrieval-Augmented Generation (RAG) system to over 50,000 multi-page documents, resolving hallucinations and latency bottlenecks.
A case study on how we reduced a startup's OpenAI API costs from $4,500 to $900 per month using Redis-based semantic vector caching.