Learn how leading firms like McKinsey empower employees with AI-driven knowledge bases. In this guide, we show you how to build a dynamic assistant using Cognigy.AI, OpenAI embeddings, Amazon S3, and Pinecone—giving your team instant access to case studies, frameworks, and critical data, faster and smarter.

In Cognigy AI, Lexicon and Knowledge serve distinct purposes in natural language understanding. Lexicon is rule-based, using hardcoded synonyms to normalize input before intent recognition — no word vectors involved. In contrast, Knowledge leverages semantic search with vector embeddings to retrieve answers from documents, making it ideal for dynamic Q&A use cases. Knowing when to use each unlocks smarter virtual agents.