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Just published: The Ultimate Guide to Building Production-Ready RAG Systems
I spent weeks diving deep into @StackAI to understand what separates a demo RAG from a production-grade one. The result? A comprehensive breakdown covering:
→ Chunking strategies that actually work
→ Embedding model selection (and when to use each)
→ Why hybrid search outperforms keyword or semantic alone
→ Prompt engineering to eliminate hallucinations
→ A complete failure checklist with fixes
If you're building AI applications that need to retrieve and reason over documents, this one's for you.
Read the full guide on Substack: https://amirhashemi.substack.com/p/the-knowledge-base-paradox-why-your
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If your team answers repeat questions from dense PDFs, does more time go into finding the right document or checking the answer?
