May 13 · 12 min read · AI coding assistants have gone from novelty to necessity in just a few years. Tools like GitHub Copilot, Cursor, Claude Code, Gemini Code Assist, Sourcegraph Cody and others can autocomplete functions
Join discussionFeb 2 · 1 min read · Enhancing Knowledge Access with AI-Powered Retrieval Augmented Generation In today’s data-driven world, accessing the right information quickly and accurately is essential for decision-making, customer support, and operational efficiency. AI-powered ...
Join discussionDec 19, 2025 · 1 min read · Most organisations sit on a mix of structured records, documents, emails, images, and reports, yet still analyse them in isolation. Hybrid extraction approaches aim to bridge that gap by combining: Rule-based methods for consistency ML and LLM...
Join discussionSep 25, 2025 · 7 min read · Prompt engineering has exploded in importance as we push LLMs into real-world applications. Techniques like Chain of Thought (CoT) have been instrumental in getting LLMs to reason step by step rather than just guess an answer. But CoT isn’t without i...
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Aug 1, 2025 · 4 min read · Graphiti is a compact yet powerful Python library that converts raw text or JSON into an AI Knowledge Graph—a structured store of facts that acts as AI Agent Memory. Below is the exact workflow I used to load FutureSmart AI data into Neo4j, explore t...
TASTech and 2 more commentedMar 7, 2025 · 12 min read · Large Language Models (LLMs) are increasingly used to automate ontology mining – extracting structured knowledge (entities, relations, hierarchies) from text – and to generate knowledge graphs (KGs). Recent research spans general frameworks to domain...
Join discussionNov 9, 2024 · 7 min read · Large Language Models (LLMs) have achieved remarkable feats, generating human-quality text and even demonstrating some semblance of understanding. However, beneath the surface lies a fundamental limitation: they excel at correlation, not causation or...
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