Improving Retrieval Augmented Generation accuracy with GraphRAG | Amazon Web Services
Lettria, an AWS Partner, demonstrated that integrating graph-based structures into RAG workflows improves answer precision by up to 35% compared to vector-only retrieval methods. In this post, we explore why GraphRAG is more comprehensive and explainable than vector RAG alone, and how you can use this approach using AWS services and Lettria.
PG-Schema: Schemas for Property Graphs | Proceedings of the ACM on Management of Data
Property graphs have reached a high level of maturity, witnessed by multiple robust
graph database systems as well as the ongoing ISO standardization effort aiming at
creating a new standard Graph Query Language (GQL). Yet, despite documented demand,
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How can we reduce the ambiguity between knowledge graph and ontology?
How can we reduce the ambiguity between knowledge graph and ontology? The confusion arises because knowledge graphs are often Labeled Property Graphs:… | 103 comments on LinkedIn
How can we reduce the ambiguity between knowledge graph and ontology?
In the last few weeks, I’ve been diving into the world of #AgenticAI, and I found quite a mess with definitions, which creates a lot of misunderstanding… | 13 comments on LinkedIn
We're excited to publicly release the Diffbot GraphRAG LLM! With larger and larger frontier LLMs, we realized that they would eventually hit a limit in terms… | 48 comments on LinkedIn
Ontologies and knowledge graphs are the secret sauce for AI
𝐌𝐲 𝐛𝐨𝐥𝐝 𝐚𝐧𝐝 𝐨𝐧𝐥𝐲 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝟐𝟎𝟐𝟓: By December, everyone, their chatbot, and their agents will finally agree that ontologies… | 80 comments on LinkedIn
ontologies and knowledge graphs are the secret sauce for AI
What if creating Linked Open Data was less like coding and more like writing? Could anyone extend the Semantic Web by sharing a document? Publish a knowledge… | 13 comments on LinkedIn
OpenSPG (Semantic-Enhanced Programmable Graph) is a new generation of enterprise knowledge graph (EKG) engine, bidirectionally enhanced by LLMs and knowledge graphs
OpenSPG (Semantic-Enhanced Programmable Graph) is a new generation of enterprise knowledge graph (EKG) engine, bidirectionally enhanced by LLMs and knowledge…
OpenSPG (Semantic-Enhanced Programmable Graph) is a new generation of enterprise knowledge graph (EKG) engine, bidirectionally enhanced by LLMs and knowledge graphs
Want to catch up on Graph Neural Networks? Now's the time! Graph Neural Networks (GNNs) have become a popular solution for problems that include network data,…
❓How Can Graph Neural Networks Enhance Recommendation Systems by Incorporating Contextual Information? Traditional recommendation systems often leverage a…
RDF Sketch, a complete rewrite of our VS Code extension for visualizing and exploring RDF files
🎅 Santa Came Early with RDF Sketch🎅 This holiday season, we’re excited to share a special gift from Zazuko to the community: RDF Sketch, a… | 11 comments on LinkedIn
RDF Sketch, a complete rewrite of our VS Code extension for visualizing and exploring RDF files
Can Graph Learning Improve Planning in LLM-based Agents?
Task planning in language agents is emerging as an important research topic alongside the development of large language models (LLMs). It aims to break down complex user requests in natural...
Graph_RAG: A Flask app running GraphRAG for healthcare, made with Vertex AI and Neo4j, to be deployed in a container
A Flask app running GraphRAG for healthcare, made with Vertex AI and Neo4j, to be deployed in a container (Cloud Run or ECS). - RubensZimbres/Graph_RAG
Building Knowledge Graphs with LLM Graph Transformer
🧱Building Knowledge Graphs with LLM Graph Transformer A deep dive into LangChain’s implementation of graph construction with LLMs If you want to try out… | 32 comments on LinkedIn
Building Knowledge Graphs with LLM Graph Transformer