Embedding
A numerical vector representation of text, image or other data, used for similarity search and machine learning.
Embedding
Embedding — A numerical vector representation of text, image or other data, used for similarity search and machine learning.
In agentic AI, embeddings are used to retrieve relevant documents (for RAG), surface similar prior decisions (for memory) and classify intent (for routing).
How xyner approaches embedding
xyner treats embedding as a first-class platform concern — the relevant capability is documented and tested, with clear integration points for enterprise architecture teams.
For a deeper technical reference, see the related capability page or the corresponding whitepaper linked below.
See also
Related: vector database, RAG, semantic search.
Ready to put autonomous agents to work?
See xyner in your environment with a guided executive demo.