Tag: redis
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Context engineering needs a context engine
Stronger models help, but agent reliability may depend just as much on better context systems around them.
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I benchmarked 5 embedding models across 4 datasets
I benchmarked five embedding models across four NanoBEIR datasets and found that bigger embeddings did not always produce better retrieval.
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Semantic Caching in Production
Repeated user intents can quietly inflate LLM cost and latency. Semantic caching helps, but production use comes with trade-offs.