[{"id": 19, "name": "AGENTIC RAG", "teaser": "Agentic RAG is the use of AI agents to facilitate retrieval augmented generation (RAG). Agentic RAG systems add AI agents to the RAG pipeline,to increase adaptability and accuracy.", "author": "Kashif Aziz", "author_initial": "K", "date": "Mar 10, 2026", "url": "/blog/our-blog-1/agentic-rag-19", "blog_name": "Our blog", "tag": "Our blog"}, {"id": 18, "name": "Context Engineering", "teaser": "Context engineering is like giving right information in right format at right time to LLM to accomplish a task. Its relevant to people building AI agents. Because unlink chatgpt we", "author": "Kashif Aziz", "author_initial": "K", "date": "Mar 08, 2026", "url": "/blog/our-blog-1/context-engineering-18", "blog_name": "Our blog", "tag": "Our blog"}, {"id": 17, "name": "MCP Servers", "teaser": "Model Context Protocol (MCP) servers are lightweight programs that act as a bridge between LLMs (like Claude, Gemini, Cursor) and external tools/data sources, enabling AI to access", "author": "Kashif Aziz", "author_initial": "K", "date": "Mar 08, 2026", "url": "/blog/our-blog-1/mcp-servers-17", "blog_name": "Our blog", "tag": "Our blog"}]