Embeddings
How Embeddings Works in Production
Computers cannot parse semantic nuance from raw strings. An embedding model translates sentences into arrays of floating-point numbers (e.g. 1,536 dimensions for OpenAI text-embedding-3-large). Texts with similar contextual meaning map close together in vector space, allowing mathematical cosine distance calculations to locate relevant answers even when search queries use different vocabulary.
Practical Enterprise Workflow
The query 'card billing error' and the policy sentence 'disputed merchant credit charges' share zero identical words, but their cosine similarity score exceeds 0.88, allowing the search engine to return the exact clause.
Related Engineering Practices
Related Glossary Terms
About Aurevion AI
Custom AI systems, private RAG architectures, and sovereign software development for growing engineering teams.
Aurevion AI engineers dependable production artificial intelligence systems, sovereign retrieval-augmented generation pipelines, autonomous agentic workflows, and modern high-concurrency software applications. We partner directly with engineering leaders across North America and Europe, deploying zero-trust private cloud architectures with complete intellectual property ownership, deterministic reliability guarantees, and transparent sprint-based technical team collaboration.