Tag

#rag

Posts tagged with rag

4 posts

A RAG chunking strategy decides how source documents are split into the chunks that feed embedding and vector retrieval.

Guides • Oct 17, 2026 •11 min read

RAG Chunking Strategy, Decided by a 50-Pair Eval

Stop copying 512-token defaults. Build a small retrieval eval on your own corpus and let decision gates and cost math pick your RAG chunking strategy.

#rag #chunking +3

Meta's AI second brain, an internal agent that answers domain questions through a curated knowledge supply chain instead of raw search.

Use Cases • Sep 07, 2026 •13 min read

Meta's AI Second Brain Runs on a Knowledge Supply Chain

Meta's AI second brain shows why agents live or die on the knowledge supply chain, not the retrieval stack, and what small teams can copy first.

#meta #ai-agents +4

NLP vs LLM vs RAG branches routed by task shape and cost, the decision framework that determines where document workloads land.

Guides • Aug 29, 2026 •12 min read

NLP vs LLM vs RAG, Routed by Task Shape and Cost

NLP vs LLM vs RAG is a routing decision set by task shape. Compare the cost math, failure modes, and an LLM-fallback pattern before picking a model.

#classical-nlp #rag +4

A decision framework for choosing between fine-tuning, RAG, and prompt engineering when working with small open-weight language models.

Guides • Jul 12, 2026 •13 min read

Fine-Tuning vs RAG vs Prompt Engineering Decision Framework

Fine-tuning vs RAG vs prompt engineering: run this eval-gated framework before training a custom model and inheriting its hidden maintenance tax.

#fine-tuning #rag +4