Vector Databases

A vector database indexes and stores vector embeddings for fast retrieval and similarity search, with capabilities like CRUD operations, metadata filtering, and horizontal scaling.

Created: by Pradeep Gowda Updated: May 06, 2024 Tagged: databases · vectordb

What is a Vector Database? from the team.

Common Use cases for vector search:

  • Semantic Search
  • Similarity search for images, audio, video, JSON, and other forms of unstructured data
  • Ranking and Recommendation Engines
  • Deduplication and record matching
  • Anomaly detection (eg: IT Threat detection)

Capabilities of a vector database:

  • Vector Indexes for Search and Retrieval
  • Single-Stage Filtering
  • Data Sharding
  • Replication
  • Hybrid Storage
  • API

Vector databases