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Hmm, I'm trying to contextualize your insight with the example that was given.

That approach sounds great for a lot of usecases, but wouldn't it still struggle with the given example of the age changing over the years?

How old is x? -> 10

Two years later:

How old is x? -> 12

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As a simplified example:

(memory) [2023-07-01] My daughter is 10

(memory) [2024-05-30] My daughter turned 11 today!

System prompt: Today is 2025-08-21

User prompt: How old is my daughter?

The vector DB does the work of fetching the daughter-age-related memories, your system decides (perhaps with another LLM) if the question needs time-based sorting or something else.

Still new to the rag space, but there op had an additional callout, "and [later] i call her by her name"

Is it capable to go from `[name] -> [my daughter as a concept] -> age` ?

The agent loop takes care of that

Yeah good call, I missed that. I don't think there's a correct answer here, but it could be another step of the read or write. Either it would do another lookup of "my daughter" -> Name on read, or do a lookup on write if you already have a "my daughter is Name" memory. Whatever's less expensive in the long run. The graph memory someone else mentioned also seems like a good option there.

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