There have been many blogs like this over the last years.

Yes, embeddings are computationally heavy, but they are not at all complicated and they provide a lot of benefit.

90% of "document" based RAG projects should view semantic search with embeddings as their primary method.

It's very powerful and so easy to implement that you could try it out and discover whether performance would be an issue rather than trying to anticipate it.

▲ petesergeant 4 hours ago | parent [-]

Embeddings are reasonably simple, but it’s a journey to get there, and I am very proud of the dog-heavy explainer I wrote on them: https://sgnt.ai/p/embeddings-explainer/

	▲	rglover 41 minutes ago \| parent \| next [-]
		Started reading and will have to finish later but thank you for sharing. Very helpful post.
	▲	dotancohen 3 hours ago \| parent \| prev \| next [-]
		This is terrific, thank you! There's a typo in the following sentence: `> we don’t especially want to say that books on forestry and similar to books on puppies` ^and^are
	▲	dizhn 4 hours ago \| parent \| prev [-]
		This is very good. Thanks.