Vector database
A database optimized for storing and searching high-dimensional embeddings — used in RAG and semantic-search systems.
Vector database
Vector database — A database optimized for storing and searching high-dimensional embeddings — used in RAG and semantic-search systems.
Common vector databases include Pinecone, Weaviate, Milvus, pgvector and OpenSearch's vector engine. xyner supports them all via the data plane.
How xyner approaches vector database
xyner treats vector database 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: RAG, semantic search, embedding.
Ready to put autonomous agents to work?
See xyner in your environment with a guided executive demo.