Neo4j: How to create knowledge graphs with gen AI

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Jump start the creation of knowledge graphs leveraging the generative AI capabilities of Vertex AI and Neo4j's graph database. Knowledge graphs provide insights from patterns previously hidden in your data for maintaining an ethical supply chain, detecting fraud, and personalizing customer experiences.
Learn how you can leverage generative AI to power your business → goo.gle/43SfcmL
Check out Neo4j on Google Cloud Marketplace → goo.gle/3DHzNQ7

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Опубликовано:

6 авг 2023

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Комментарии : 12

@Makemineadoubles 9 дней назад

I love the hired nodding head

@user-qv6if3oz6z 9 месяцев назад

Instead of Google cloud Generative AI , I want to use Llama models to populate and query from Knowledge Databases, but I am facing a problem, the LLM is generating queries in correct format but due to lack of connectivity between knowledge of LLM and values stored in the knowledge graph, I am generating wrong queries but with right syntax. What should I do in this case. Please Help

@matthewzimmers1097 Месяц назад

I was thinking this too. Did you find or think of an answer?

@matthewzimmers1097 Месяц назад

There’s a paper on Arxiv about doing this. Forgot what it’s named

@PhilipX2030 9 месяцев назад

No comments?

@piclezwd 4 месяца назад

Is Delphi still a thing?!

@ClaudioPascual 5 месяцев назад

what is cipher?

@Abstract.x 2 месяца назад

it's the query language for Neo4j databases

@PhilipX2030 9 месяцев назад

This has been up 2 months...

@tranzorz3925 7 месяцев назад

He keeps saying "Generative AI" over & over, but there doesn't seem to be any content actually being generated. "You keep using that word. I do not think it means what you think it means."

@antman7673 3 месяца назад

I don’t know, look at 2:10. Dude seems smart and that looks generative to me. It sort of build a query based on a sentence.

@pin65371 3 месяца назад

@@antman7673 exactly.... the LLM is a "translation" tool but instead of translating from human language to human language its translating from human language to code. That is incredibly useful. It basically levels up everyone within an organization immediately. Its the same as for data type work where the LLM is creating python from language. Now you dont need a team of programmers doing all of that work. A CEO or manager can just ask a question and behind the scenes all of scripting is done immediately.