Zilliz
Vector database for AI-powered semantic search at scale.
Zilliz is a managed vector database built on Milvus, designed for AI-powered semantic search at scale. It stores embeddings and runs similarity queries with filtering, supporting billions of vectors with low-latency retrieval.
I use Zilliz for production search systems where scale and performance matter. When you have large document collections, product catalogues, or knowledge bases that need fast semantic search, Zilliz handles the vector storage and retrieval while you focus on the application layer.
For Barnsley businesses with substantial data - product catalogues, technical documentation, or historical records - Zilliz provides the vector infrastructure to power AI search that understands intent rather than just matching keywords.
How I use Zilliz for Barnsley businesses
For search, it stores embeddings and runs similarity queries at scale.
Related integrations
LlamaIndex
AI data framework for RAG, retrieval, and semantic search.
Marqo
AI search API with built-in embedding and hybrid retrieval.
Pinecone
Vector DB for RAG and neural search over embeddings.
Qdrant
Vector database for similarity search and filtering.
Weaviate
Vector database with hybrid search and built-in embeddings.
Want to discuss AI for your business?
I help businesses across South Yorkshire and beyond integrate AI into their workflows. Get in touch to talk through your specific situation.