Agents + Knowledge Graphs with NetDocuments’ Dan Hauck
In this AL TV Interview with NetDocuments’ CPO Dan Hauck we talk about agents, KM and knowledge graphs. The central point here is that to ...
Towards Data Science·
Structure-guided NER optimization for enterprise GraphRAG systems The post Proxy-Pointer RAG: Eliminating Wasteful Entity & Relations Extraction in Knowledge Graphs appeared first on Towards Data Science.
Read full articleIn this AL TV Interview with NetDocuments’ CPO Dan Hauck we talk about agents, KM and knowledge graphs. The central point here is that to ...
A scalable semantic localization layer for entity and relationship reconciliation The post Proxy-Pointer RAG: Solving Entity and Relationship Sprawl in Large Knowledge Graphs appeared first on Towards Data Science.
Hierarchical understanding and comparison of contracts, research papers, and more The post Proxy-Pointer RAG — Structure-Aware Document Comparison at Enterprise Scale appeared first on Towards Data Science.
Structure is all you need The post Proxy-Pointer RAG: Multimodal Answers Without Multimodal Embeddings appeared first on Towards Data Science.
Open source. 5-minute setup. Vector RAG done right—try it yourself. The post Proxy-Pointer RAG: Structure Meets Scale at 100% Accuracy with Smarter Retrieval appeared first on Towards Data Science.
In their paper LLMasMMKG: LLM Assisted Synthetic Multi-Modal Knowledge Graph Creation For Smart City Cognitive Digital Twins, which was published in the AAAI Fall Symposium series, Sukanya Mandal and Noel O’Connor introduced an approach that leverages large language models to automate the construction of synthetic multi-modal knowledge graphs specifically designed for a smart city cognitive […]