SSSameer Selokarinblogbysameer.hashnode.dev·Sep 4 · 15 min readAI Memory: How Can an AI Agent Remember You?Have you ever told an AI assistant something important, only to discover that it has forgotten it in your next conversation? For example: You: My name is Sameer. I’m building an AI memory system call11A
SSSameer Selokarinblogbysameer.hashnode.dev·Sep 4 · 16 min readBeyond Vector Databases: Understanding Vectorless RAG, PageIndex, and Wiki-Based AI MemoryRetrieval-Augmented Generation (RAG) has become one of the most common architectures for building AI systems that can answer questions using external knowledge. The basic idea is simple: Give an LLM 01A
SSSameer Selokarinblogbysameer.hashnode.dev·Aug 24 · 12 min readModel Context Protocol (MCP): How AI Agents Connect to the Real WorldAI models are becoming increasingly capable at reasoning, generating code, and understanding natural language. But there is one major limitation: An AI model cannot automatically interact with the wor00
SSSameer Selokarinblogbysameer.hashnode.dev·Jul 12 · 8 min readFrom Hallucinations to Guardrails: 16 Essential AI & LLM Concepts Every Developer Should KnowArtificial Intelligence is evolving faster than ever. If you're building AI applications using OpenAI, Claude, Gemini, LangChain, or RAG systems, you've probably come across terms like Hallucination, 00
SSSameer Selokarinblogbysameer.hashnode.dev·Jul 12 · 10 min readRetrieval-Augmented Generation (RAG): What It Is, How It Works, and Why It Sometimes Fails?Most people think connecting an AI model to your documents magically makes it accurate. The reality is more nuanced. Retrieval-Augmented Generation (RAG) significantly improves an LLM's ability to ans11K
