Integrating Knowledge Graphs and Vector RAG for Efficient Information Extraction - Reading Group Session
Explore integrating knowledge graphs and vector retrieval for enhanced information extraction from unstructured financial documents, improving accuracy and efficiency in data analysis.
Large Language Model Training: Tackling Data Challenges
Explore expert tips on tackling data challenges in large language model training, covering use cases, tools, and knowledge graphs.
Next-generation Intelligent Assistants for Wearable Devices
Explore cutting-edge ML techniques for building intelligent personal assistants on wearable devices, led by Meta Reality Labs' Principal Scientist Luna Dong.
Neo4J Knowledge Graph: Topic Extraction with Langchain and Phi3 - Part 1
Explore topic extraction for knowledge graphs using Neo4J, Langchain, and Microsoft Phi3. Learn to enrich movie databases with themes from TMDB.org overviews.
Neo4j Knowledge Graphs for Smarter AI-Agent Search
Explore how Neo4j knowledge graphs enhance AI agent search, improving response quality through advanced AI engineering techniques like meta-prompting and RAG.
Augmenting Reality with The World Avatar - Dynamic Knowledge Graphs for Data-Centric Engineering
Explore "The World Avatar," a dynamic knowledge graph for digital replication, enabling data-centric engineering across scales to enhance efficiency, reduce costs, and improve sustainability.
Enabling GenAI Breakthroughs with Knowledge Graphs - Building Personalized Recommendation Systems
Discover how to integrate LLMs with Neo4j knowledge graphs using RAG patterns to build intelligent GenAI applications for personalized recommendations and enhanced data insights.
Kùzu - A Fast, Scalable Graph Database for Analytical Workloads
Discover how to build and analyze knowledge graphs using Kùzu, an open-source graph database. Learn practical implementations, from data transformation to running Cypher queries and training graph neural networks for advanced RAG systems.
Stardog Query Optimizer - Join Ordering and Cardinality Estimations for Graph Queries
Delve into query optimization techniques for graph databases, focusing on join ordering and cardinality estimations in Stardog's architecture, with insights from Pavel Klinov's extensive experience in query engine development.
Managing Small Knowledge Graphs for Multi-agent Systems - MLOps Podcast #236
Explore knowledge graph management for multi-agent systems, focusing on structural grounding, selective improvement, and end-to-end reliability. Learn strategies to enhance RAG accuracy and repeatability in AI pipelines.
Complete Session on Knowledge Graph and GraphDB with LangChain
Comprehensive exploration of Knowledge Graphs and GraphDB integration with LangChain, covering implementation techniques and practical applications for advanced data management and AI systems.
Ontology-First Knowledge Graphs: Understanding RDF and Building Connected Data Systems
Dive into the fundamentals of Knowledge Graphs, exploring RDF frameworks, ontology development, and real-world applications like Netflix's data connection strategy through practical examples and expert insights.
Towards Infusing Auxiliary Knowledge for Distracted Driver Detection
Discover how auxiliary knowledge and scene graphs enhance distracted driver detection systems, improving accuracy by 13.64% through innovative integration of visual cues and driver pose information.