Glossary
Terms around the AI workspace
Clear explanations of AI workspace, multi-model access, company wiki, brand voice, RAG, connectors, automations, multi-tenancy and more.
RAG vs. Fine-Tuning for Enterprise AI — OpenBase
RAG retrieves knowledge from external databases at query time; fine-tuning bakes knowledge into model parameters during training. RAG updates instantly, fine-tuning requires retraining cycles.
Learn moreSemantic Search vs Keyword Search: Key Differences — OpenBase
Keyword search matches exact terms in documents; semantic search understands meaning and intent. Keyword search is faster and simpler but misses synonyms and context. Semantic search handles natural language but requires more computation and training data.
Learn moreWhat Is Semantic Search? — OpenBase
Semantic search interprets the meaning and intent behind a query rather than matching keywords. It uses natural language processing and vector embeddings to understand context, synonyms, and relationships between concepts.
Learn moreReady for AI
that works for the whole company?
Signed up in 30 seconds — via email or with Google/Microsoft. Workspace is ready immediately, no setup, no credit card.
Trial workspace — full product up to €15 of model usage. No credit card required.