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Tutorials, guides, and insights on PostgreSQL, pgvector, and AI infrastructure.

pgvector with Node.js: Build Semantic Search on PostgreSQL
Learn how to use pgvector with Node.js to store and query vector embeddings in PostgreSQL. Covers node-postgres, Drizzle ORM, OpenAI embeddings, HNSW indexes, and a complete RAG pipeline.

Hybrid Search with pgvector and PostgreSQL Full-Text Search
Learn how to combine pgvector semantic search with PostgreSQL full-text search for better results. Covers reciprocal rank fusion, scoring, and production patterns.

Supabase pgvector Alternative: When to Move Vector Search to Managed PostgreSQL
Compare Supabase pgvector with focused managed PostgreSQL for vector-heavy workloads, including cost, latency, HNSW tuning, and migration paths.

pgvector Hosting Guide: How to Choose Managed PostgreSQL for Vector Search
A practical pgvector hosting checklist for production teams: storage, memory, HNSW indexes, backups, high availability, pricing, and migration support.

pgvector HNSW Tuning on Managed PostgreSQL
Learn how to tune pgvector HNSW indexes on managed PostgreSQL, including ef_search, m, ef_construction, memory, filters, and storage latency.

Exoscale pgvector Alternative: Comparing European Managed pgvector Providers
Compare Exoscale managed pgvector with Rivestack for European teams running production RAG, semantic search, and vector-heavy PostgreSQL workloads.

Elestio pgvector Alternative: Comparing Marketplace Hosting with Focused Managed PostgreSQL
Compare Elestio managed pgvector with Rivestack for production vector search workloads, including infrastructure, tuning, pricing, and migration support.