AI Fundamentals - Part 3: Giving AI Knowledge Beyond Its Training

Short summary

Part 3 of an AI fundamentals series covers how to give AI knowledge beyond its training using grounding and retrieval. It explains why dumping entire documents into prompts fails and why traditional keyword search misses semantic matches like synonyms and name variations. The article sets up the motivation for semantic search and RAG techniques to find relevant information efficiently.

• •LLMs can only answer from training data and context window; grounding provides reliable runtime information
• •Sending entire documents to LLMs is impractical due to context limits, cost, and latency
• •Keyword search fails on synonyms, name variations, and terminology differences — semantic search is needed

Generated with AI, which can make mistakes.