RAG Chunking and Embedding Model Choice
RAG chunking and embedding guide for production teams choosing chunk size, model fit, rerankers, and eval gates.
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Practical checklists and explainers — start here if you are implementing, not collecting model names.
Agent Memory: Short-Term, Long-Term, and RAG Hybrid
How AI agents combine session memory, vector stores, and structured state—and when RAG beats fine-tuning for memory.
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Run an Open-Weight LLM Locally: Ops Checklist (2026)
Run an open-weight LLM locally with an Ollama path, model pins, smoke tests, failure table, and vLLM promotion gate.
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