⭐ "GraphRAG will subsume vector-only RAG and emerge as the default RAG architecture for most use cases." ⭐ Philip Rathle explores the powerful impact of GraphRAG—the combination of knowledge graphs + Retrieval Augmented Generation (RAG)— for GenAI in his latest blog post, "The GraphRAG Manifesto.” Learn about: ✔️ The two kinds of knowledge graphs most relevant to GenAI ✔️ How GraphRAG is different from vector-only RAG ✔️ How GraphRAG fits into the GenAI lifecycle ✔️ and finally, find the answer to “Why GraphRAG?” Take a look and get ready to take the next step with GraphRAG.🚀 https://bit.ly/3xSqayJ #GraphRAG #LLM #knowledgegraphs #GenAI #RAG #Neo4j
About us
Neo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems with Neo4j’s full graph stack and a vibrant community of developers, data scientists, and architects across hundreds of Fortune 500 companies.
- Website
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https://neo4j.com/
External link for Neo4j
- Industry
- Software Development
- Company size
- 501-1,000 employees
- Headquarters
- San Mateo, CA
- Type
- Privately Held
- Founded
- 2007
- Specialties
- Graph Database, NoSQL Database, Native Graph Technology, Graph Platform, Graph Analytics, Cypher, Database, Knowledge Graph, graph visualization, Graph Algorithms, Fraud Detection, Data Lineage, and Graph Technology
Products
Neo4j Graph Database
Graph Database Software
Neo4j, the Graph Database & Analytics leader, helps organizations find hidden relationships and patterns across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, with Neo4j’s full graph stack and a vibrant community of developers, data scientists and architects across hundreds of Fortune 500 companies.
Locations
Employees at Neo4j
Updates
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Build a simple #RAG application that can answer questions based on information from Wikipedia! 😎 Tomaz Bratanic shows us, step by step, how to build it using LangChain and #Neo4j vector index. https://bit.ly/3JqKjht #Neo4j #langchain #llm #rag
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This time, we meet Dan Britman, Sr. Customer Success Manager at #Neo4j. Dan has been with Neo4j for more than two years, and he highlights how dynamic his role at the company is as he gets to engage with multiple aspects of the business. Learn more about Neo4j, our Nodes, and culture on our refreshed careers page: https://bit.ly/3Smy8ah #LifeAtNeo4j #ThePowerofRelationships (we)-[:FOCUS_ON]->(userSuccess)
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#tbt to this amazing guide: 🤩Discover the ultimate roadmap crafted by S S Kumar, guiding you through the creation of LLM-powered applications.🤩 ✔️ Unlock the potential to query Neo4j using natural language, streamlining the process of data exploration, and also 👉 learn development best practices! A must-read! https://bit.ly/42M3hI7 #Neo4j #llms
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Graph-Powered Code Debugging with GenAI See how BLAR App's Code Base Agent uses graph technology to debug and optimize your code effortlessly! In this demo, we’ll sync repositories, address unexpected errors, and demonstrate how Blar allows you to improve your development workflow. Discover the power of graph technology in coding and how it can streamline your debugging process. Guest; José Domínguez, Blar Repo: https://lnkd.in/de2zU3BA Blar: https://blar.io/
Graph-Powered Code Debugging with GenAI
www.linkedin.com
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What is a knowledge graph? ✨ John Stegeman, Graph Database Product Specialist at Neo4j, wrote a detailed and precise blog post about Knowledge Graphs, including how they work, their characteristics, and even helpful use cases that will help you understand how they are key for storing and organizing data, enabling you with a more sophisticated understanding of your data. Take a look: https://bit.ly/4dbibvE #Neo4j #knowledgegraphs
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Chia Jeng Yang, Co-Founder of WhyHow.AI explores the differences in response between graph and vector search using a financial report RAG example. Discover why combining graph and vector search is the future of RAG. 😉 https://bit.ly/4eh9Qrz #Neo4j #VectorSearch #GraphRag #graphdatabase
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Sydney, here we go! See you at Gartner's #GartnerDA? Our #Neo4j experts are eager to meet and talk about #GraphRAG at booth 306! Also, mark your calendar to listen to these 2 great presentations: 🎤 Philip Rathle will share up-to-date learnings from the evolving field of knowledge graphs and, 🎤 Emil Pastor will explain how to build applications using a flexible native graph database and data science algorithms to uncover and investigate complex fraud quickly. More about the event: https://bit.ly/3A3bwoQ #GartnerDA #Neo4j #GenAI #llms #frauddetection
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Welcoming the official #Neo4j GenAI package for #Python!! It is designed to simplify the integration of Neo4j into Retrieval-Augmented Generation (#RAG) applications for developers :) Take a look, integrate the neo4j-genai package into your projects, and share your insights via comments. https://bit.ly/3Smua1r #GenAI #LLMs #Neo4j Will Tai 戴肇恩
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Kickstart GenAI development with Neo4j's graphRAG ecosystem 💪 This was a great webinar hosted by Michael Hunger and Zachary Blumenfeld where they presented the Knowledge Graph builder: Watch it on demand, and can learn about: ▶️ Quickly starting a knowledge graph from unstructured data ▶️ Free ecosystem tools for talking to your knowledge graph and performing GraphRAG. This video is only a snippet :) Full webinar here: https://bit.ly/4d1ugU7 #Neo4j #GraphRAG #Llms