Category · AI

Vector DB

Database optimized for ANN vector queries.

Qdrant, Pinecone, Weaviate, pgvector, Elasticsearch with HNSW. Stores embeddings and answers top-k nearest neighbors queries in milliseconds. Selection criteria: latency, storage cost, metadata filters, multi-region replication.

// In action with our clients

Client cases

/10European bank: hybrid RAG, inference cost cut tenfold.

IARAG in production: from €10,000 to €900 per month.

// See also

Embedding
Vector representation of a piece of text or media.
RAG (Retrieval-Augmented Generation)
AI architecture that combines document retrieval with LLM generation.

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