robinkim

2.5K posts

robinkim

robinkim

@robinkim

Storyteller. @Neo4j VP Comms. Also on Mastodon @[email protected]

Silicon Valley Beigetreten Ağustos 2008
777 Folgt797 Follower
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Sebastian Siemiatkowski
Sebastian Siemiatkowski@klarnaseb·
Yes, we did shut down Salesforce a year ago, as we have many SaaS providers—an internal estimate is about 1,200 SaaS shut down. Not the end of Salesforce; might be the opposite. Here is what actually happened and how/why we originally intended to NOT share it publicly:
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Emil Eifrem
Emil Eifrem@emileifrem·
I've re-read this tweet a couple of times today. 🚀💪😍
Tom Nijam@TomNijam

@klarnaseb Makes a lot of sense. Grok summary here for anyone on the run: 🏃🏼‍♂️

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Eric Ries
Eric Ries@ericries·
In this episode of The Eric Ries Show, I’m joined by @emileifrem, Co-Founder and CEO of @neo4j, an open-source graph database. Neo4j enables organizations to unlock the business value of connections, influences, and relationships in data. In our conversation today, we talk about the following topics: 🔵 The origin story of Neo4j and why they chose open source 🔵 Open source as a means of production vs. distribution 🔵 How open source fosters trust and transparency 🔵 The pros and cons of doing business in the US 🔵 Why Neo4j updated their values and changed their stance on military contracts 🔵 What a Leader’s Guide is and how it keeps companies tied to their mission 🔵 The challenges of implementing AI 🔵 An explanation of RAG information retrieval and how it relates to LLMs 🔵 And more! You can listen to or watch the episode here: 🎥 YouTube: youtu.be/K93tX3X-SPc 🎙️ Spotify: open.spotify.com/episode/1VfuE8… 🎙️ Apple: podcasts.apple.com/us/podcast/les…
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Jerry Liu
Jerry Liu@jerryjliu0·
Build a knowledge graph agent from scratch 🔥 I'm super excited about this blog post by Tomaz Bratanic from @neo4j - this is probably the most thorough treatment I've seen for building a text-to-cypher powered knowledge graph agent that actually works well. Tomaz walks through an entire list of potential strategies and evaluates them according to a standardized benchmark: 1. Naive text-to-cypher 2. Text-to-cypher with retry and evaluation 3. Iterative planning system by generating a plan of sub-queries before creating the final query. All of these can be stitched together as an event-driven system with @llama_index workflows. Check out the post! llamaindex.ai/blog/building-… If you want to get your hands dirty on workflows check out our guide here: docs.llamaindex.ai/en/latest/modu…
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LlamaIndex 🦙@llama_index

Dramatically improve the accuracy of your knowledge graph applications by applying agentic strategies with LlamaIndex workflows! In this comprehensive post by Tomaz Bratanic of @neo4j, he builds up slowly from a naive text2cypher implementation to an agentic approach with error checking, retries and correction, and he has the benchmarks to prove it's a better strategy! ➡️ Implement agentic strategies for text2cypher using LlamaIndex Workflows ➡️ Explore multi-step approaches with retry and self-correction mechanisms ➡️ Understand the benefits of iterative planning for complex queries ➡️ Gain insights on benchmarking and real-world deployment considerations Check out the full guest post on our blog here: llamaindex.ai/blog/building-…

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Emil Eifrem
Emil Eifrem@emileifrem·
So happy and proud to work with Klarna to power their internal knowledge chatbot Kiki and to build their AI platform of the future. We work with AI teams across the globe to build systems to marry LLMs and Knowledge Graphs, and the Klarna team is absolutely world class. There's a reason they are the canonical example of *real* ROI for AI, and they're only getting started. Here's to a graphy, LLM-y future! 🚀
Sebastian Siemiatkowski@klarnaseb

Spännande @emileifrem och @neo4j Klarna är stolta kunder till Neo4j som är fantastiska och nödvändiga i AI tider. Också kul att få stötta varandra, 🇸🇪 bolag emellan! Kanske dags för bättre och billigare betalningar på @Spotify? hint hint @eldsjal 😉 di.se/digital/ola-ro…

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Emil Eifrem
Emil Eifrem@emileifrem·
My friend and Neo4j CTO @prathle has written an outstanding blog post that summarizes the recent buzz around GraphRAG, what we've learned from a year of helping users build systems with Knowledge Graphs + LLMs and where we believe the space is going. Thread below. 👇🧵
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Neo4j
Neo4j@neo4j·
Knowledge Graphs in combination with vector search: 1. Higher accuracy 2.Easier development 3.Increase Explainability and governance Look at that beautiful #knowledgegraph at the end of @emileifrem’s presentation ❤️ at @aiDotEngineer Come to our booth at #AIEWF to learn more about #GraphRAG or visit bit.ly/4ezekdr
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