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AI Syllabus Module

Module 1.8: Vector Databases

Manage database indexing, approximate nearest neighbor algorithms, and metadata search filters.

Lessons & Submodules

Submodules mapping coming soon.

Key Skills

  • •Query vector databases combining vector similarity and metadata filtering
  • •Configure HNSW graph link parameters to optimize search latency

Interview Value

  • Explain the difference between dense retrieval and sparse retrieval in search engines.