#RAG

A vector database is a method of storing knowledge so that an AI model can search it by meaning—not just keywords. It is the technical heart of AI agents that answer based on real business content: catalogs, procedures, and customer documents. A simple guide for Israeli business owners.

RAG (Retrieval-Augmented Generation) is the technology that enables an AI agent to answer questions specific to your business—products, pricing, terms, and procedures—without hallucinating answers. Without RAG, an AI agent operates on guesswork; with RAG, it works with your actual business knowledge. A complete guide for Israeli business owners.

Fine-Tuning is the process of retraining an existing AI model on business-specific data to change how it behaves. Most small businesses don't need it at all—Prompting and RAG are usually more than enough. A straightforward guide: what it is, when it's worth it, and when to save your money.

An internal AI agent is a tool that allows any employee to ask a question in natural language and get an accurate answer directly from company documents—procedures, SOPs, policies, contracts—without searching through folders or interrupting managers. Complete guide: how it works, the unique value of RAG, and what fits small and medium-sized Israeli businesses.

An AI agent uses a model, instructions, and tools to perform a task on a user's behalf within defined limits. Learn the architecture, use cases, pricing, evaluations, security, and human handoff.