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
A specialized database storing embeddings, which are numerical representations of content meaning. Enables fast search for semantically similar documents, images, or text fragments for RAG and recommendation systems.
Why it matters
Enables searching by meaning, not by exact words: a query for 'promotion budget' will find a document about 'campaign costs'. It's the engine behind RAG and semantic search.
What's missing without it
Without a vector database, search only sees literal words — synonyms and paraphrases are lost, and the AI assistant has no context to draw from.
When it is used
In semantic search, AI assistants relying on proprietary knowledge, and recommendation systems for similar content.
How we use it
Finding similar articles and documentation fragments before the AI assistant responds.
Numbers worth knowing
Acronyms 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.