SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph semantic distance metric
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph…
SimGRAG is a novel method for knowledge graph driven RAG, transforms queries into graph patterns and aligns them with candidate subgraphs using a graph semantic distance metric
Why someone in a regulated industry should invest in GraphRAG + Demo
Why someone in a regulated industry should invest in #GraphRAG is something we have already discussed here: https://lnkd.in/d5ykdD7u With the associated…
Why someone in a regulated industry should invest in hashtag#GraphRAG
Enterprise GraphRAG: Building Production-Grade LLM Applications with Knowledge Graphs
Enterprise GraphRAG: Building Production-Grade LLM Applications with Knowledge Graphs Let’s dive into the numbers: Real-World Results Implementing GraphRAG…
Enterprise GraphRAG: Building Production-Grade LLM Applications with Knowledge Graphs
𝗚𝗿𝗮𝗽𝗵𝗥𝗔𝗚 𝗙𝗶𝗲𝗹𝗱 𝗚𝘂𝗶𝗱𝗲: 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗪𝗼𝗿𝗹𝗱 𝗼𝗳 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗥𝗔𝗚 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀
Want better results from your RAG? GraphRAG takes it to the next level. GraphRAG is a powerful approach to retrieval augmented generation (RAG). It… | 46 comments on LinkedIn
𝗚𝗿𝗮𝗽𝗵𝗥𝗔𝗚 𝗙𝗶𝗲𝗹𝗱 𝗚𝘂𝗶𝗱𝗲: 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗪𝗼𝗿𝗹𝗱 𝗼𝗳 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗥𝗔𝗚 𝗣𝗮𝘁𝘁𝗲𝗿𝗻𝘀
LazyGraphRAG sets a new standard for GraphRAG quality and cost
Introducing a new approach to graph-enabled RAG. LazyGraphRAG needs no prior summarization of source data, avoiding prohibitive up-front indexing costs. It’s inherently scalable in cost and quality across multiple methods and search mechanisms:
Working with RDF on LLMs
Working with RDF on LLMs ================== The following is a quick reference list of things I've found when trying to work with the RDF stack on LLMs *… | 14 comments on LinkedIn
Working with RDF on LLMs