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  • Hacker News
  • I built one into my agent using sqlite…
  • I think this is cool and helpful but my biggest complaint is the writing style and word choice just scream LLM
  • For someone who isn't super familiar, what is "R@10", and is 0.89 good? It's impossible to google for
  • Calling this “episodic” memory immediately loses all credibility.
  • I have a request: can this text be even more AI generated?
  • Summary of the article (https://pastebin.com/aawJfrF6) since the original one is like reading an academic paper filtered through an LLM that hates human readers.

    It seems like a cool approach. Don't know if it's novel but it's much smarter than "shove markdown files into directories".

  • TIL

    - Hybrid recall + reranker: Two searches merged, then re-scored for best matches

    - Supersession: Old facts get hidden, new ones take their place

    - Decay: Recent or often‑used memories get a score boost

    - DLS: Each user only sees their own documents

  • This is such a basic thing nowadays, and ElasticSearch is massive overkill for it. Something like SQLite or LanceDB or basically any vector database is much more appropriate.

    This seems to be coming from the “we must make ElasticSearch AI-compatible” department more than anything.

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