Glossary term
Glossary term
Memory and Retrieval
Embedding Models convert language into numerical vectors, enabling AI to make connections based on meaning rather than keywords, powering smarter search, retrieval, and reasoning across applications.
OpenAI text-embedding-3-large is widely used for enterprise RAG and semantic search.
Cohere Embed v3 supports over 100 languages for multilingual embedding generation.
The BGE and E5 model families on Hugging Face are popular open-source embedding models.