Claude Code Developer's Bold Move: Agentic Search Over RAG

research #llm 📝 Blog|Analyzed: Feb 25, 2026 06:45•

Published: Feb 25, 2026 01:00

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1 min read

Analysis

This article highlights an exciting shift in how we approach knowledge retrieval for Large Language Models. The Claude Code developer's move to Agentic Search, bypassing traditional Retrieval-Augmented Generation, opens the door to innovative possibilities. This could lead to more efficient and dynamic information access.

Key Takeaways

•The Claude Code developer replaced RAG with Agentic Search, a method where the model uses grep/glob for information retrieval.
•Agentic Search allows the model to autonomously search files, potentially reducing reliance on pre-indexed data.
•This shift suggests that vector search, commonly used in RAG, might be a transitional technology in LLM development.

Reference / Citation

View Original

"Claude Code's developer Boris Cherny (@bcherny) tried everything: Voyage embeddings, vector databases, and semantic search. Ultimately, he concluded that Agentic Search was overwhelmingly better."

Zenn LLMFeb 25, 2026 01:00

* Cited for critical analysis under Article 32.

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