3.7K
INTry the new InfraNodus extension that visualizes your content as a knowledge graph. Link in bio.
#infranodus #knowledgegraphs #llms #ai #obsidian #browserextension #chromeextension
@infranodus
#Knowledge Graphs
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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
22.4K
RAGraph databases accelerate multi-hop traversals, but most production queries are shallow (1–2 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
210.0K
ARKnowledge Graph vs Vector Database
Both of these tools can be used by LLM to pull in information to answer a users question (RAG). Using a knowledge graph is best for discovering relations between things, and using a vector database is best for finding similar things. #coding #programming #rag
@arjay_the_dev
180
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
1.3M
CHAlways remember how much attention each decision in your charts are costing. If you can reduce the work your viewer has to do to understand your message, the better they will respond to your work.
#Charts #Presentation #Viz #PPT #Excel #Graph #Consulting #Mckinsey #Bain #BCG #Vizualization #Slides #Chart #Graphs #Deck #GoogleSlides #BarChart #Education #Data
@chartosaur
2.3M
ALStarted working on building a brain kit for Claude code to use, it’s a month later and this turned into something I couldn’t have dreamed of 🧠
It’s working! My agents have persistent episodic memory with open schema knowledge graphs, entity relationships, deep sleep cycles, human approval for work that sufaces, my emails are written and drafted before I even wake up and a morning briefing lands in my PWA app on my phone with things for me to review and approve from my agent fleet. I’m shipping dozens of features to my system daily because of Claude code. It’s insane honestly.
I wouldn’t be able to build a D2C business without AI on my own. And this system I’m building is making me realize how possible it is to start and run a business as a solo entrepreneur.
This whole thing sent me down a rabbit hole now I’m building each agent into docker containers that run automously 24/7 copying ideas from openclaw, Nemoclaw, nanoclaw and all the agent memory saas products.
The goal is to build myself an ambient computing system so I can be in the real world more, in front of a screen less, and reduce my mental load 😌
@alexandra.kassis
7.6M
MA✨️video’s Manim code Link in bio- easy, fully explained & customizable.
✨️Graphs are everywhere in math and science. 📊
From the curves of y = x² to y = x⁹, to trigonometric graphs like sine and cosine, to the Taylor series of sin, cos, and eˣ that help us approximate functions, and even parametric curves such as x³ + y³ = 1 to x⁹ + y⁹ = 1.
These graphs are used in physics, engineering, computer science, economics, and even animations. 🚀
Understanding them makes math not just theory, but a tool for the real world.#equation
#reels #mathematics #math #likeme #fyp #trending
Which graph do you like the most? 👇
@mathematisa
39.5K
DA🧠 Graph RAG: The Next Evolution in AI Knowledge Retrieval
Traditional RAG systems are like searching through a library by keywords. Graph RAG? It's like having a librarian who understands the connections between every concept.
🔄 How Graph RAG Works:
Phase 1: Knowledge Construction
Documents are processed and chunked into manageable pieces
AI extracts entities (people, places, concepts) and their relationships
Two parallel storage systems are built:
📊 Knowledge Graph: Structured web of connected entities
🔍 Vector Database: Semantic embeddings for similarity search
Phase 2: Intelligent Retrieval When you ask a question, Graph RAG doesn't just find similar text—it thinks:
🎯 Entity Recognition: "What key concepts is the user asking about?"
🕸️ Graph Traversal: "What's connected to these concepts?"
🔎 Semantic Search: "What text chunks are contextually relevant?"
Phase 3: Context Integration
Combines structured relationships from the knowledge graph
Merges semantically similar content from vector search
LLM generates responses with both factual connections AND contextual understanding
💡 Why This Matters:
Traditional RAG: "Find documents about 'climate change'" Graph RAG: "Find documents about climate change, connect them to economic impacts, policy decisions, and related environmental factors"
The result? AI that doesn't just retrieve information—it understands the web of knowledge and delivers insights with context and connections intact.
Perfect for complex domains where relationships matter: legal research, scientific literature, business intelligence, and technical documentation.
#AI #RAG #KnowledgeGraphs #MachineLearning #DataScience
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#datascience #machinelearning #python #ai #dataanalytics #artificialintelligence #deeplearning #bigdata #agenticai #aiagents #statistics #dataanalysis #datavisualization #analytics #datascientist
@datasciencebrain
226
ITStop struggling with long Boolean equations! 🛑 This is how you simplify 4 variables using a K-Map in seconds. ⚡️
Grouping is key:
🔹 Look for the largest power of 2 (1, 2, 4, 8...).
🔹 Wrap around the edges if you have to!
🔹 Write the terms that don't change.
Save this for your next Digital Logic exam! 📚📝
#KarnaughMap #CSMajor #EngineeringLife #DigitalLogic #Electronics
@itutorial.jabalpur
1.3M
CHJust because you can make your chart look unique, doesn't mean you should. A good data visualization is about clarity, not just creativity. When every element - color, font, and shape - works against readability, you're not improving the story, you're burying it. Radial bar charts, for example, may look visually compelling, but they aren't always the best tool. While they do okay in displaying cyclical data, such as seasonal trends or annual sales patterns, their complexity can make your point harder to understand in other contexts.
#Charts #Presentation #Viz #PPT #Excel #Graph #Consulting #Mckinsey #Bain #BCG #Vizualization #Slides #Chart #Graphs #Deck #GoogleSlides #StackedBarChart #BarChart #Education #Data #Anchoring #Likert #RadialChart
@chartosaur
2.1K
MEStatistics is NOT just for statisticians.
It’s the secret weapon of every Data Analyst.
Each dataset hides a story, and distributions help us decode it.
👉 A quick cheat sheet for you (save this!):
1. Normal = classic bell curve
2. Uniform = equal chance
3. Binomial/Bernoulli = success vs failure
4. Poisson = rare events
5. Log Normal = skewed data
6. Gamma/Beta = flexible shapes
7. Geometric = time until first success
⚡ Knowing the right distribution = better insights, smarter decisions.
Ask yourself:
What story is my data’s distribution telling me?
Which of these do you use most?
--
Follow @jayenthakker and @metricminds.in
➕ Dedicated to helping aspiring data analysts thrive in their careers.
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#dataanalytics #datascience #data #metricminds #datavisualization #analytics #artificialintelligence #python #ml #careers #sql #careerswitch #trendingreels #foryoupage #learning
@metricminds.in
✨ #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, @alexandra.kassis and @chartosaur 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.
Popular Categories
📹 Video Trends: Discover the latest Reels and viral videos
📈 Hashtag Strategy: Explore trending hashtag options for your content
🌟 Featured Creators: @mathematisa, @alexandra.kassis, @chartosaur and others leading the community
FAQs About #Knowledge Graphs
With Pictame, you can browse all #Knowledge Graphs reels and videos without logging into Instagram. No account required and your activity remains private.
Content Performance Insights
Analysis of 12 reels
💡 Top performing posts average 3.1M views (2.9x above average). Moderate competition - consistent posting builds momentum.
Post consistently 3-5 times/week at times when your audience is most active
Content Creation Tips & Strategy
💡 Top performing content gets over 10K views - focus on engaging first 3 seconds
📹 High-quality vertical videos (9:16) perform best for #Knowledge Graphs - use good lighting and clear audio
✨ Many verified creators are active (58%) - study their content style for inspiration
✍️ Detailed captions with story work well - average caption length is 678 characters
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