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Databases

Definition:Vector Database

A Vector Database is a specialized database engine built to store, index, and query high-dimensional vector embeddings efficiently.

Detailed Technical Explanation

Vector databases use specialized indexing algorithms like HNSW (Hierarchical Navigable Small World) to perform sub-100ms similarity searches across millions of vectors.

Business Perspective

Vector databases are the engine powering enterprise AI search, RAG knowledge bases, and recommendation systems.

Technical Perspective

Implemented via dedicated vector stores or database extensions like PostgreSQL pgvector.

Real-World Example

Using pgvector in PostgreSQL to query relevant document chunks for enterprise AI assistants.

Common Architectural Mistakes

  • Ignoring Relational Context: Using isolated vector stores when document permissions require relational SQL table joins.

Ecosystem Integration

Engineering Services & Solutions

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Frequently Asked Questions

Why use pgvector in PostgreSQL?

It allows combining vector similarity search with relational SQL tables and Row-Level Security in a single database.

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