[{"id": 14, "name": "RAG", "teaser": "Why we need RAG? Retrieval-Augmented Generation (RAG) is an AI framework that improves Large Language Model (LLM) accuracy and relevance by fetching data from trusted, external, or", "author": "Kashif Aziz", "author_initial": "K", "date": "Mar 06, 2026", "url": "/blog/our-blog-1/rag-14", "blog_name": "Our blog", "tag": "Our blog"}, {"id": 13, "name": "Langraph", "teaser": "LangGraph is an open-source AI agent framework developed by LangChain designed to build, manage, and deploy complex, stateful, and conversational AI agent applications. LangChain i", "author": "Kashif Aziz", "author_initial": "K", "date": "Mar 05, 2026", "url": "/blog/our-blog-1/langraph-13", "blog_name": "Our blog", "tag": "Our blog"}, {"id": 12, "name": "AI workflow", "teaser": "AI workflow is the process or sequence of steps where AI is involved—how input moves through prompts, context, reasoning, tools, and output. IBM describes an AI workflow as using A", "author": "Kashif Aziz", "author_initial": "K", "date": "Mar 05, 2026", "url": "/blog/our-blog-1/ai-workflow-12", "blog_name": "Our blog", "tag": "Our blog"}]