How to Build a Knowledge Bot Trained on Your Own Documents usually means connecting LangChain or LlamaIndex, an embedding model, a vector database, retrieval, and an LLM through RAG. The system can in…
Category: Artificial Intelligence
RAG Chatbot Mistakes That Lead To Wrong Answers
RAG chatbots use document retrieval, embeddings, vector search, prompts, and a language model to assemble answers from selected passages; one workflow appends retrieved passages to GPT-4’s input. RAG…
How To Scope A Custom AI Project Before Hiring A Developer
Before hiring an AI developer or AI development company, define the business outcome, users, data, constraints, technical approach, acceptance criteria, and ownership terms. Budget discovery separatel…
What Is RAG And Why It Makes AI Bots More Accurate
RAG (Retrieval-Augmented Generation) combines an external retriever and a generative model to ground LLM outputs by marginalizing over retrieved documents, P(y|x)=∑_{i=1}^{K} P_ret(z_i|x) P_gen(y|x,z_…
What Is An AI Chatbot And How It Actually Works
Introduction — What Is an AI Chatbot and How It Actually Works What Is an AI Chatbot and How It Actually Works is the question bringing you here: you want a clear definition, a practical explanation o…
What Is An AI Agent And How It Differs From A Chatbot
Introduction — what you're looking for and why this matters in 2026 What Is an AI Agent and How It Differs from a Chatbot is the exact question most product and ops leaders ask when they plan AI…