Philip Rathle
1.1K posts

Philip Rathle
@prathle
CTO @ Neo4j. Helping the world to connect all-of-the dots.
San Francisco, CA Katılım Haziran 2009
246 Takip Edilen1.9K Takipçiler

Close to home for Latent Space, Pfizer was recently onstage in NYC at the AI Engineer Summit with their example:
ai.engineer/summit/2025/sc…
I have more examples linked at the end of the GraphRAG Manifesto including some (LinkedIn) who deployed into production, saw a massive improvement, and wrote a research paper about it.
Lots more have come out since I wrote the post. You’ll find more at graphrag.com/appendices/res…
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I do get your point and will let folks add in their experiences here. But it’s worth pointing out that part of the thread came from the CEO of Klarna, who considers what they built only to have been possible because of GraphRAG with a graph database (Neo4j in this case):
x.com/klarnaseb/stat…
He talks some more about it on this Sequoia Training Data episode starting at minute 30:
sequoiacap.com/podcast/traini…
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i do really like this chart
I think people are rightfully wary about the Return of the Knowledge Graph, having been burned before. But when opinions differ I let facts help me decide, and this is a great collection of evidence on the performance of GraphRAG, including third parties like @get_writer and @microsoft!



Philip Rathle@prathle
Today’s @latentspacepod with @dharmesh is *of course* an awesome listen: latent.space/p/dharmesh A thread expanding on the graph database portion the discussion 🧵:
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@latentspacepod @dharmesh @emileifrem @DMRadioOnline @neo4j 11/ We are all nodes in a massive, massive graph!
So true!!
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@latentspacepod @dharmesh @emileifrem @DMRadioOnline @neo4j 10/ Besides PageRank, one of my favorite graph algorithms is neo4j.com/docs/graph-dat…
It’s a great way to resolve anonymous user breadcrumbs into a pseudonymous single identity.
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Today’s @latentspacepod with @dharmesh is *of course* an awesome listen:
latent.space/p/dharmesh
A thread expanding on the graph database portion the discussion 🧵:
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@joaomdmoura A big warm welcome to all of you! We are excited to have you here.
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@yaakovepstein51 Neo4j Aura starts at $65 perGB per month, includes hosting/patches/backups/etc., and can be gotten through your cloud marketplace of choice. Otherwise Neo4j has an open source Community Edition that may or may not work depending on your scalability/availability/security needs.
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Klarna’s AI journey is rooted in the power of graphs. I agree with Sebastian that the value of Neo4j/knowledge graphs/GraphRAG is in the top line. It’s not about replacing SaaS, but bringing data from the many silos into a graph, and using that for better AI decisions.
Tom Nijam@TomNijam
@klarnaseb Makes a lot of sense. Grok summary here for anyone on the run: 🏃🏼♂️
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@yoheinakajima I am here too: on both the memory and the graph piece. I also believe deterministic techniques have an important place alongside the stochastic ones, and that the ultimate agentic system will be smart about using both.
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i’ve said this in private convos so I’ll say it here…
“better memory” is the final unlock we need to get truly better agents, and 2025 is when we’ll see more of this
we have strong reasoning, tools for tools, plenty of frameworks, but memory/context management needs improvement: grabbing the right context from long-term memory, summarizing memory to do this efficiently (i.e. graphs), privacy control (consumer) and user permissions (enterprise) as it relates to confidential memory, self-improvement (leveraging past memory to improve itself), etc.
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