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Choose and Configure Vector Indexes

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We explain how to choose between IVFFlat cluster-based and HNSW graph-based vector indexes, covering build times, accuracy, memory usage, and configuration settings like probes and ef_search.

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Previous Module Introducing Azure Database for PostgreSQL
This Module AI Vector Search on PostgreSQL
Introduction to pgvector
Introduction to pgvector
Store and Query Embeddings with pgvector
Store and Query Embeddings with pgvector
Vector Similarity Search Indexes
Vector Similarity Search Indexes
Vector Similarity Search for Semantic Retrieval
Vector Similarity Search for Semantic Retrieval
Retrieval Patterns for RAG Pipelines
Retrieval Patterns for RAG Pipelines
Optimize Vector Search in Azure Database for PostgreSQL
Optimize Vector Search in Azure Database for PostgreSQL
Tune PostgreSQL for pgvector
Tune PostgreSQL for pgvector
Choose and Configure Vector Indexes
Choose and Configure Vector Indexes
Optimize Data Layout for Filtered Search
Optimize Data Layout for Filtered Search
Scale PostgreSQL for High-Volume Workloads
Scale PostgreSQL for High-Volume Workloads
Connection Optimization with PgBouncer
Connection Optimization with PgBouncer
Next Module Introducing Azure Managed Redis