📌 Implementing DRIFT Search with Neo4j and LlamaIndex

🗂 Category: LLM APPLICATIONS

🕒 Date: 2025-10-22 | ⏱️ Read time: 10 min read

Combining global and local search to get the most accurate response

📌 Is RAG Dead? The Rise of Context Engineering and Semantic Layers for Agentic AI

🗂 Category: LARGE LANGUAGE MODELS

🕒 Date: 2025-10-21 | ⏱️ Read time: 18 min read

Context engineering, semantic layers, and the evolution of retrieval for agentic AI

📌 Hidden Gems in NumPy: 7 Functions Every Data Scientist Should Know

🗂 Category: DATA SCIENCE

🕒 Date: 2025-10-21 | ⏱️ Read time: 9 min read

I’ve been learning data analytics for a year now. So far, I can consider myself…

🤖🧠 LangGraph by LangChain-AI: The Framework Powering Stateful, Long-Running AI Agents

🗓️ 23 Oct 2025
📚 AI News & Trends

As artificial intelligence continues to reshape industries, one major challenge remains building reliable, stateful and long-running AI agents that can handle complex workflows over time. Traditional AI frameworks often focus on short interactions, lacking the infrastructure to manage persistent states, durable memory or human feedback loops. That’s where LangGraph from LangChain-AI steps in. Trusted by ...

#LangGraph #LangChainAI #AIAgents #StatefulAI #LongRunningAgents #ArtificialIntelligence

🤖🧠 Master Machine Learning: Explore the Ultimate “Machine-Learning-Tutorials” Repository

🗓️ 23 Oct 2025
📚 AI News & Trends

In today’s data-driven world, Machine Learning (ML) has become the cornerstone of modern technology from intelligent chatbots to predictive analytics and recommendation systems. However, mastering ML isn’t just about coding, it requires a structured understanding of algorithms, statistics, optimization techniques and real-world problem-solving. That’s where Ujjwal Karn’s Machine-Learning-Tutorials GitHub repository stands out. This open-source, topic-wise ...

#MachineLearning #MLTutorials #ArtificialIntelligence #DataScience #OpenSource #AIEducation

📌 Things I Learned by Participating in GenAI Hackathons Over the Past 6 Months

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-10-20 | ⏱️ Read time: 10 min read

Sharing my two cents from the building in public journey so far

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📌 Docling: The Document Alchemist

🗂 Category: NATURAL LANGUAGE PROCESSING

🕒 Date: 2025-09-12 | ⏱️ Read time: 13 min read

Why do we still wrestle with documents in 2025? Spend some time in any data-driven organisation,…

📌 If we use AI to do our work – what is our job, then?

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-09-12 | ⏱️ Read time: 5 min read

Images. Text. Audio. There’s no modality that is not handled by AI. And AI systems…

📌 Generalists Can Also Dig Deep

🗂 Category: AUTHOR SPOTLIGHTS

🕒 Date: 2025-09-12 | ⏱️ Read time: 6 min read

Ida Silfverskiöld on AI agents, RAG, evals, and what design choice ended up mattering more…

📌 A Focused Approach to Learning SQL

🗂 Category: SPONSORED CONTENT

🕒 Date: 2025-09-12 | ⏱️ Read time: 9 min read

Data is everywhere, but how do you draw insights from it? Often, structured data is…

📌 Why Context Is the New Currency in AI: From RAG to Context Engineering

🗂 Category: ARTIFICIAL INTELLIGENCE

🕒 Date: 2025-09-11 | ⏱️ Read time: 12 min read

Context, not computation, is the real currency of intelligent systems