rag

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Embedding Models Explained: Dimensions, Storage Cost and the Re-Embedding Bill (2026)

Your RAG search lives or dies on one small model most people never pick on purpose. What an embedding is, why 3,072 dimensions costs eight times the storage of 384, how to read the MTEB leaderboard without getting fooled, and what switching models really costs.

Aliteq Team · Oct 16 · 11 min

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Agents

Claude Code Doesn't Need a Vector Database. Does Your AI App? Agentic Search vs RAG

Your coding agent finds code by grepping and reading files, not by embeddings. Anthropic says that works. Cursor says semantic search added accuracy. Here is how to decide which your own app needs.

Aliteq Team · Oct 5 · 7 min

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Google's Open Knowledge Format (OKF), Explained: Markdown Files That Agents Can Trust

Google Cloud's new spec for agent knowledge is a folder of markdown files with a few lines of YAML on top. Here is what is in the file, what v0.2 added, and where it differs from a vector index.

Aliteq Team · Oct 3 · 8 min