We spend millions turning structured information into PDFs and billions to extract the same data from a printer rendering language

Have fun

https://gist.github.com/jexp/8d991d1e543c5a576a3f1ee70132ce7...

Did you see the two blog posts that Tomaz Bratanic did on the topic?

For the ingestion: https://neo4j.com/developer-blog/global-graphrag-neo4j-langc... For the retrievers: https://neo4j.com/developer-blog/microsoft-graphrag-neo4j/

My general point on GraphRAG is that it extracts and compresses the horizontal topic-clustering across many documents and makes that available for retrieval.

And that by creating the semantic network of entities, you can use patterns in the graph structure to answer questions that rely on information coming together from different documents. Think the detectives board connecting facts with strings from many different sources.

Feel free to ping me for a deeper discussion: michael at neo4j

Very secretive all external partners were bought out. Only hundred or so people benefited in the billions per person. Including Robert Mercer of Trump campaign financing and Cambridge Analytica fame.

Very interesting but also disheartening episode about smart people only caring about getting richer.

https://www.acquired.fm/episodes/renaissance-technologies

You can also construct graphs with an llm out of text. See here. https://neo4j.com/labs/genai-ecosystem/llm-graph-builder/

https://www.acquired.fm/episodes/tsmc

Comments URL: https://news.ycombinator.com/item?id=38336362

Points: 3

# Comments: 1

https://www.prometheus-music.com/audio/eternalflame.mp3

Refrain (full lyrics): http://www.songworm.com/lyrics/songworm-parody/EternalFlame....

For God wrote in Lisp code

When he filled the leaves with green.

The fractal flowers and recursive roots:

The most lovely hack I’ve seen.

And when I ponder snowflakes, never finding two the same,

I know God likes a language with its own four-letter name.

They operated in the early 2000s and went bankrupt.

They construction dome is as high as the Statue of Liberty and as long as the Eiffel Tower. Now used as indoor tropical resort.

https://en.m.wikipedia.org/wiki/CargoLifter

Tried to find it as a VS Code extension, but there was nothing. So not knowing how to build one and being TypeScript noobs, we employed GPT-4 to build it late night in a few hours. We called it "Venkat" in his honor.

And it turned out pretty well, so we're happy for you to try it out and let us know what you think (or rip it apart).

Comments URL: https://news.ycombinator.com/item?id=35974728

Points: 1

# Comments: 0

The renewable energy transition was blocked and delayed by the same Merkel govt. Germany was once leading in wind and PV energy and all those industries were destroyed and almost 100k jobs lost. 60bn subsidies per year go to fossil fuel companies including coal mining and burning. Often under the disguise of job retention. All through industrial lobbying and strong unions in the fossil fuel industries.

It even made it on LifeHacker back then: https://lifehacker.com/track-your-time-with-lego-bricks-3997...

The article is only on the internet archive these days https://web.archive.org/web/20081206084136/http://jexp.de/bl...

Comments URL: https://news.ycombinator.com/item?id=31613090

Points: 3

# Comments: 0

Comments URL: https://news.ycombinator.com/item?id=29094163

Points: 8

# Comments: 1

MATCH (e:Employee) RETURN e { .* } as employee;

MATCH (e:Employee) RETURN collect(e { .* }) as employees;

MATCH (e:Employee)-[:IN]->(d:Department) WITH d, collect(e {.*}) as employees

When I started back then in 2016 with it, it was pretty cool how directly graphql mapped to the graph model in the db.