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Love this GraphRAG example by Mervin Praison, using Neo4j & #Groq

If you’re looking for a conversation about GraphRAG to go alongside the GraphRAG Manifesto, look no further than my conversation with Ben Lorica on the Data Exchange podcast: thedataexchange.media/supercharging-…

Microsoft GraphRAG Alternative and 10x Cheaper? 🚀 Introducing Sciphi/Triplex 💸 10x Cheaper 🤖 AI Knowledge Graph Extraction 🌟 Higher Accuracy 🛠️ Setup with Hugging Face 🖥️ Local Run with ollama 📊 Data Visualisation Neo4j Subscribe: youtube.com/@MervinPraison Shreyas Pimpalgaonkar

GraphRAG with Mistral AI, CAMEL-AI.org, and Neo4j: - Use Mistral Large 2 to extract and structure knowledge graph from a given content source, and store this information in a Neo4j graph database. - A hybrid approach: combining vector retrieval and knowledge graph retrieval,

This weekend, we’re providing a definitive set of tutorials on how to build GraphRAG, step-by-step. First, check out this video by Fahd Mirza on implementing the core components of GraphRAG using an in-memory implementation: 1. Extract entities and relationships using LLMs 2.

🔍 Exploring GraphRAG with Neo4j and LangChain 📝 Check out Tomaz Bratanic's deep dive into "From Local to Global" GraphRAG implementation Covers how to extract entities & relationships from text and summarize graph structures into natural language. github.com/tomasonjo/blog…

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

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.