Artificial Intelligence
Vector Database Engineering
Scalable storage + query infrastructure for embedding vectors.
RAG systems, semantic search, recommendation engines — all rest on a vector database. The wrong choice forces re-architecture later. We weigh data volume, query latency, KVKK compliance and existing-stack fit together to pick correctly between pgvector / Qdrant / Weaviate.
Tools and technologies we work with
pgvectorQdrantPineconeWeaviateMilvus
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