Why the Best AI Coding Tools Abandoned RAG (And What They Use Instead)

Описание: Claude Code, Cline, Aider, Codex CLI - every top AI coding tool has abandoned traditional RAG and embeddings. But for enterprise knowledge bases, RAG is a $2B market growing 50% per year, and it's ~100x cheaper per query than full context loading.

So is RAG dead or not? Both sides are right - they're just talking about different problems. Code is structured and perfectly searchable with grep. Business documents aren't. In this video I break down where the line is and what to use on each side.

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Sources:

Boris Cherny / Claude Code on agentic search:
https://smartscope.blog/en/ai-develop...

Why Cline doesn't use RAG for AI coding:
https://pashpashpash.substack.com/p/w...

LlamaIndex - Agentic Retrieval:
https://www.llamaindex.ai/blog/rag-is...

Aider repo map (Tree-sitter approach):
https://aider.chat/docs/repomap.html

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0:00 Is RAG Dead?
0:55 All Search is RAG (but not Semantic Search)
1:52 Structured vs. Unstructured Data
4:09 Why RAG Fails for Code
6:22 Scrimba
7:29 Agentic Search in Practice
11:05 When to Use Traditional RAG
13:12 Bridging Both Retrieval Strategies
14:35 Final Thoughts

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Join me as I push the limits of what is possible with AI. I'll be uploading videos weekly - at least every Wednesday at 7:00 PM CDT!