The premise is simple: compiled knowledge is more reusable than retrieved fragments.
RAG became the default answer to a straightforward question - how do I give an LLM access to external knowledge?
And the usual architecture is by now familiar.
Take documents, split them into chunks, embed the chunks, store them in a vector database, retrieve relevant pieces at query time, and...
Most modern knowledge systems optimize retrieval, and that is understandable.
Search is visible, easy to demo, and feels magical when it works. Type a question, get an answer.
But retrieval is only one half of the problem. The deeper question is:
What shape does the knowledge have before anything tries to retrieve it?
That is representati...
When building Vue applications, performance usually feels great by default - Vue’s reactivity system is incredibly efficient.
But as applications grow larger, you may eventually run into situations where:
...
kumulant is a streaming statistics library: you feed it numbers, it maintains an accumulator like a mean or a quantile sketch, and you read snapshots back. Above the accumulator sits a graph of transforms and filters that preprocesses each value before it lands in the stat: filter out negatives, log-transform latencies, ...
You're explaining the same thing to Claude every single session. Your project structure. Your error handling pattern. The fact that you never use default exports. The fact that src/migrations/ is sacred ground and nothing in there gets touched without a dry run.
Every time. From scratch. Like the last conversation never happened.
That's not a Claude problem. That's ...
