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mnd999 | 2 years ago

Neo4j are mixing vector embeddings with knowledge graphs - https://neo4j.com/generativeai/

discuss

order

WhitneyLand|2 years ago

Ignoring the disclosure etiquette here, then making an irrelevant rebuttal about relevance when the point was disclosure, then getting snarky with the person who tried to helpfully point it out?

I have no opinion on your products or your post, but some % of people steer away from companies for such things.

hobofan|2 years ago

It's generally good etiquette around here to disclose your affiliation if you post comments that advertise the products of your employer.

mnd999|2 years ago

My views are my own and as such I do not disclose my employment or otherwise on here.

I did think twice about posting it, as I don't usually but it's relevant and i might be helpful so why not? If you don't like it, thanks for the downvote.

geoduck14|2 years ago

Wow. I learned some stuff about etiquette on HN today.

I'll support you, mnd999. I don't work for a graph dB company. We don't use graph dBs, but I'm considering it. Graph dbs are a legitimate source to feed data I to your RAG system. Our RAG system currently used hybrid search: lexical and semantic. We need to expand our sources, too. I would like to see us use LLMs to rephrase our content (we have a lot of code), and index on that. I think we should build a KG on content quality (we have millions of docs) and software out the things no one likes.

I also think a KG on "learning journeys" would be valuable, but really difficult.