48.4K
ARKnowledge Graphs Explained
A knowledge graph is a powerful way to let your large language model (LLM) access real time information #coding #csmajors #programming #systemdesign
@arjay_the_dev
#Knowledge Graphs
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NEMotion Graphs #physics #knowledge #learn #graphs #motion #time #reels #reelsinstagram #explorepage #trendingreels #viralreels #like #comment #share #fyp
@newtonsacademytuition
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PRUnderstanding Knowledge Graphs #n8n #AI
Discover how knowledge graphs store and connect relationships, offering context and reasoning in AI, unlike vector databases and re-rankers. Learn through practical examples in healthcare and cybersecurity.
@professorglitch.automation
3.1K
INTry the new InfraNodus extension that visualizes your content as a knowledge graph. Link in bio.
#infranodus #knowledgegraphs #llms #ai #obsidian #browserextension #chromeextension
@infranodus
154.2K
KRAlgorithms racing across the same graph - Dijkstra, Prim, DFS, BFS, and Greedy Best each forging unique paths through complexity.
@kreggscode
64.4K
TEVector database vs Knowledge Graphs
#tech #artificialintelligence #familyguy #machinelearning
@technerd_stewie
18.5K
EDKnowledge Graphs are powerful but you need to retrain them every time the underlying document store changes.
@edhonour
149.8K
EQThe Secret to Understanding Correlation Coefficients #statistics #math #datascience #correlation #Manim Master the Pearson Correlation Coefficient in seconds! This video breaks down the complex world of statistics by visualizing how 'r' values change across different scatter plots. From strong positive correlations (+0.95) to strong negative correlations (-0.95), you will see exactly how data points align with the line of best fit.
@equationsinmotion
22.4K
RAGraph databases accelerate multi-hop traversals, but most production queries are shallow (1β2 hops) that SQL or embeddings handle efficiently. Knowledge graphs are valuable for integration but costly to build and govern, and few organizations have the resources to maintain them. Most organizations find the marginal gains of graph RAG rarely justify the operational overhead.
Stonebraker, M., & Pavlo, A. (2024). What Goes Around Comes Around... And Around. SIGMOD Record.
@rajistics
41.9K
INDiscover how this innovative approach transforms unstructured data into powerful knowledge graphs, significantly enhancing Large Language Models (LLMs) accuracy and contextual understanding. Learn about the intricate process from data ingestion and entity extraction to advanced hybrid retrieval mechanisms. GraphRAG excels at complex, multi-hop queries, providing more precise and explainable AI responses. While powerful, it's a resource-intensive process. Explore the future of AI with GraphRAG! #GraphRAG #AI #LLM #KnowledgeGraphs #DataScience #MachineLearning #AITech #RAG #ArtificialIntelligence #TechExplained
@infra.peter
14.6M
MATrigonometry becomes much clearer when we connect algebraic formulas to geometry. This visual explanation starts with the unit circle, a circle of radius 1 centered at the origin, which forms the foundation of trigonometric definitions. Any angle measured from the positive x-axis determines a point on the unit circle, and the coordinates of this point directly define cosine and sine. The x-coordinate represents cos ΞΈ, while the y-coordinate represents sin ΞΈ.
By dropping a perpendicular from this point to the x-axis, we naturally obtain a right-angled triangle. This links the unit circle to the familiar concepts of adjacent, opposite, and hypotenuse. From this construction, tan ΞΈ appears as the ratio of sine to cosine and is visualized using the tangent line to the unit circle.
The animation then extends these ideas to graphs. As the angle increases, the changing sine, cosine, and tangent values trace smooth curves, forming the sin graph, cos graph, and tan graph. This shows how circular motion generates periodic wave patterns.
This approach preserves correct mathematical meaning while helping students see how angles, triangles, and graphs are deeply connectedβmaking trigonometry logical, visual, and memorable.
#math #trigonometry #fyp #trending
@mathematisa
576
DRπ GraphRAG: The Practical Guide for Cost-Effective Document Analysis with Knowledge Graphs
GraphRAG integrates structured Knowledge Graphs (KGs) with semantic chunks (vectors), enabling LLMs to reason over multi-hop connections for complex queries and connect the dots between different sources, offering a holistic perspective.
However, GraphRAG is painfully slow and costly, as it requires multiple API calls to the LLM to achieve good accuracy. To address this, in this guide, we will explore a practical approach to cost-effective document analysis using FastGraphRAG on a medical dataset, optimizing both speed and accuracy.
If you are looking to integrate GraphRAG into enterprise-grade applications, you may find this read very useful.
Read the complete article here: LINK IN BIO
#graphrag #fastgraphrag #knowledgegraphs #microsoftGraphRAG #medicalRAG
@dr_satya_mallick
β¨ #Knowledge Graphs Discovery Guide
Instagram hosts thousands of posts under #Knowledge Graphs, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.
#Knowledge Graphs is one of the most engaging trends on Instagram right now. With over thousands of posts in this category, creators like @mathematisa, @kreggscode and @equationsinmotion are leading the way with their viral content. Browse these popular videos anonymously on Pictame.
What's trending in #Knowledge Graphs? The most watched Reels videos and viral content are featured above. Explore the gallery to discover creative storytelling, popular moments, and content that's capturing millions of views worldwide.
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π‘ Top performing posts average 3.7M views (3.0x above average). Moderate competition - consistent posting builds momentum.
Post consistently 3-5 times/week at times when your audience is most active
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π₯ #Knowledge Graphs shows high engagement potential - post strategically at peak times
βοΈ Detailed captions with story work well - average caption length is 395 characters
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