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Comments on Is there a memory book for humans?

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Is there a memory book for humans?

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LLMs (AI) have limited context windows which makes it challenging to include all necessary context in the prompt. A common solution is a memory book.

The memory book stores arbitrarily large amounts of text (typically past conversations as well as reference material like wikipedia articles), segmented in some way (sentence, paragraph, etc). When you type in a prompt, it uses a dumb text similarity metric (like cosine similarity) to retrieve the most relevant snippets and attaches them to your prompt for the AI's benefit. Cosine similarity has low precision but decent recall, so while not all passages it finds will be relevant, if there is something relevant it will end up as a hit, and the AI can sort them out on its own when doing more sophisticated processing of the prompt.

This sounds like a very useful thing when writing notes, even without an AI. Is there any program intended for human use (GUI or CLI) which can scan my notes, build a database, and retrieve relevant passages easily based on some rough text similarity measure? (not just keywords - eg. cosine can deal with synonyms)

Inspired by https://rpg.codidact.com/posts/285850

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1 comment thread

Synonyms and cosine similarity (1 comment)
Synonyms and cosine similarity
Zer0‭ wrote 9 months ago

Cosine similarity cannot deal with synonyms. It deals only with vectors, and it's ability to handle synonyms depends on the vectorization step. You (the software) need to use a capable technique like Word2Vec, GloVe or FastText. With these vectorizations, synonyms can get similar vectors and thus have a high cosine similarity