TL;DR: Vanilla RAG (vector search → stuff context → generate) is great for “find and summarize.” It breaks on multi-hop questions, entity-heavy domains, and anything that needs joins, constraints, or causality. GraphRAG adds an explicit knowledge graph—entities, relationships, events—so the model retrieves structured facts first, then uses text passages as evidence. The result: higher factuality, […]
TL;DR: We’re moving from clicking through apps to delegating outcomes to AI agents—systems that can plan, use tools, take actions, and learn from feedback. The winning stacks combine small, fast models for routine steps with large models for edge cases, wrapped in strong guardrails, observability, and human oversight. If you design for workflows (not chat), […]
TL;DR: Small language models (SLMs) — think ~100M to ~7B parameters — are winning more production workloads because they’re cheaper, faster, easier to govern, and “good enough” once you add retrieval, tools, and smart routing. Big models still matter for open-ended reasoning and novel generation, but the center of gravity for day-to-day enterprise tasks has […]
IntroductionWhile consumer chatter centers on chatbots and viral videos, the enterprise story is more nuanced: budgets are exploding, governance is tightening, and GPU scarcity is dictating who can scale. Here’s how the B2B side of AI is unfolding in 2025. 1. Adoption Is High—Maturity Is Not McKinsey’s March survey shows 78 % of companies already […]
IntroductionEight months into 2025, AI progress feels less like incremental improvement and more like an arms race of imagination. Frontier labs are shipping ever-larger, ever-smarter models, multimodality has graduated from “cool demo” to table-stakes feature, and open-weight releases are forcing tech giants to rethink their moat strategies. Below is a mid-year pulse check on what’s […]
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Large Language Models: The Maestro and Wizard of the Crazy Transformation in Research Content Writing, and Marketing Collaterals
Introduction The advent of Large Language Models (LLMs) has brought a revolutionary shift in how we...
GraphRAG vs. Vanilla RAG: Structure, Signal, and the End of Hallucinations
TL;DR: Vanilla RAG (vector search → stuff context → generate) is great for “find and summarize.” It...
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