470 000 000 000
IDC Worldwide AI and Generative AI Spending Guide 2026 V2 prognozuje, że europejskie wydatki na AI osiągną blisko 470 mld dolarów do 2030 roku
IDC09/2026Europe
An AI pattern in which a large language model (LLM) retrieves relevant data from an external knowledge base before generating a response. The retrieved snippets are added to the model’s context, reducing hallucinations and ensuring alignment with company-specific sources.
Why it matters
Forces the model to consult the company’s knowledge base before responding — answers are grounded in verifiable sources rather than relying solely on the model’s training memory.
What's missing without it
Without retrieval, the model responds based on its training memory: convincingly, but sometimes inaccurately, and always without access to current company data.
When it is used
In assistants and search tools powered by internal documentation, article archives, or product offer databases.
How we use it
The assistant answers questions about the company’s offerings based on current documents, not just the model’s internal knowledge.
Numbers worth knowing
Artificial intelligence in data
470 000 000 000
Prognozowane całkowite wydatki na AI w Europie w 2030 roku według IDC Worldwide AI and Generative AI Spending Guide 2026 V2
IDC09/2026Europe
26%
Prognozowany udział w pełni elektrycznych pojazdów (BEV, bez hybryd) w europejskim parku samochodowym do 2035 roku, w porównaniu z 4% w 2025 r.
BCG2035Europe
Figures from the same field — collected in our market data base.