Topic mix

Knowledge graphs

28 moments from 20 videos · 1:11:48 total

Understand how structured knowledge bases improve LLM context. These conference talk highlights outline graph modeling principles, query optimization, and RAG integration.

Large Language Models ❤️ Knowledge Graphs
Play section Structuring enterprise data utilizing knowledge graph databases Structuring enterprise data utilizing knowledge graph databases thumbnail Structuring enterprise data utilizing knowledge graph databases Viewing large-scale corporate data as interconnected nodes facilitates intuitive querying and effective digital twin modeling.
Play section Introduction to generative AI and knowledge graphs Introduction to generative AI and knowledge graphs thumbnail Introduction to generative AI and knowledge graphs Combining language models with graph databases yields powerful approaches to organizing and processing enterprise data.
Play section Querying knowledge graphs and vector indexes via Python Querying knowledge graphs and vector indexes via Python thumbnail Querying knowledge graphs and vector indexes via Python Orchestrating operations via scripting integrates database drivers and models for explicit user query resolution.
The R in RAG: Why retrieval is often the weakest link (and how to fix it)
Play section Using advanced retrieval methods like graph rag and raptor Using advanced retrieval methods like graph rag and raptor thumbnail Using advanced retrieval methods like graph rag and raptor Knowledge graphs map entity relationships and hierarchical clustering abstracts large documents for complex multi-hop reasoning.
Give Your LLMs a Left Brain
Play section Combining knowledge graphs with LLMs for reliability Combining knowledge graphs with LLMs for reliability thumbnail Combining knowledge graphs with LLMs for reliability Integrating knowledge graphs provides explicit domain understanding and deterministic answers that pure vector databases and language models lack.
Play section Architecting a hybrid vector and knowledge graph system Architecting a hybrid vector and knowledge graph system thumbnail Architecting a hybrid vector and knowledge graph system Routing user queries through both knowledge graphs and vector databases enables context enrichment and continuous algorithmic fine-tuning.

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