One potential issue I see here with bidirectional linking along with aliases is that eventually most of the words in our nodes will be tags and only the most mundane will not be tags. Because eventual...
eventually most of the words in our nodes will be tags and only the most mundane will not be tags. Because eventually we will want a "page" for everything in our pkm.
Well, yes, every word in any text suggests a relation between concepts that are in that text. One could argue that that’s the purpose of writing text in the first place.
Guess what groundbreaking technology was recently integrated into Tana that’s designed with the ability to understand these latent relations in text? That’s right, LLMs.
Although, I’d argue that latent relations suggested by words inside text (unstructured data), is not quite the same as bidirectional relations inside fields (structured data).
It’s the difference between a vector database and a SQL database. Bidirectional relations between entities are not the same as bidirectional relations between words (technically, n-grams, if you’re using LLMs).
The former can be modeled with relational algebra or graphs as pages of tuples, the latter with linear algebra as n-grams in text embedding space.
The former requires a structured query (such as SQL or Datalog) sent to a database query planner, the latter requires inference that runs on GPUs.
The two shouldn’t be confused or conflated.
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Well, yes, every word in any text suggests a relation between concepts that are in that text. One could argue that that’s the purpose of writing text in the first place.
Guess what groundbreaking technology was recently integrated into Tana that’s designed with the ability to understand these latent relations in text? That’s right, LLMs.
Although, I’d argue that latent relations suggested by words inside text (unstructured data), is not quite the same as bidirectional relations inside fields (structured data).
It’s the difference between a vector database and a SQL database. Bidirectional relations between entities are not the same as bidirectional relations between words (technically, n-grams, if you’re using LLMs).
The former can be modeled with relational algebra or graphs as pages of tuples, the latter with linear algebra as n-grams in text embedding space.
The former requires a structured query (such as SQL or Datalog) sent to a database query planner, the latter requires inference that runs on GPUs.
The two shouldn’t be confused or conflated.