pgvector Not Working? Common Errors & Fixes
The 11 pgvector problems users hit most often, why they happen, and the fixes that actually work — collected from user reports, forums, and official support docs.
pgvector Error: extension "vector" is not available
Workaround availableSelf-hosted, Docker, Supabase, Neon, RDSThe server cannot find the vector extension files. Use the name vector, install the package for your Postgres major version, then CREATE EXTENSION vector.
pgvector HNSW Index Build Slow
Workaround availableAll Postgres hostsHNSW builds slow down sharply when the graph no longer fits in maintenance_work_mem. Raise it for the session, add parallel workers and load data first.
pgvector "operator does not exist: vector <=>" Error
Fixed in latest versionPostgres, Python, ORMsThe operator needs a vector on both sides. Cast the query parameter to vector or register the driver adapter.
pgvector Dimension Limit: Cannot Index More Than 2000 Dimensions
Workaround availableAllA vector column stores up to 16,000 dimensions but HNSW and IVFFlat index at most 2,000. Use halfvec (4,000) or reduce the embedding size.
pgvector "different vector dimensions" Error
Workaround availablen8n, LlamaIndex, SupabaseThe column is fixed width, so every vector must match it. Re-embed with one model or create a new column at the new size.
pgvector Query Returns Fewer Results Than LIMIT With Filter
Workaround availableAll, pgvector 0.8+ for iterative scanApproximate indexes filter after the scan, capped by ef_search. Enable iterative scan, raise ef_search or use partial indexes.
pgvector Index Not Being Used
Fixed in latest versionAllThe planner uses the index only for ORDER BY on a distance operator, ascending, with LIMIT, and a matching operator class.
pgvector HNSW Build Out of Memory or Shared Memory Error
Workaround availableDocker, Cloud SQL, self-hostedParallel HNSW builds need shared memory and RAM. Increase Docker shm_size, lower workers or memory settings.
How to Enable pgvector on Supabase
Fixed in latest versionSupabaseEnable vector on the Extensions page or run create extension vector with schema extensions. Dimension must match your model.
How to Enable pgvector on Neon
Fixed in latest versionNeonRun CREATE EXTENSION IF NOT EXISTS vector; in each database. It is available on every plan.
How to Enable pgvector on AWS RDS and Aurora PostgreSQL
Fixed in latest versionAWS RDS, AuroraConnect as rds_superuser and run CREATE EXTENSION vector. No restart is needed; update with ALTER EXTENSION vector UPDATE.
Problem not listed? See all pgvector complaints or compare pgvector alternatives.
// We build software. Any software.
Have an idea for an app? We'll build it.
We're a small team of developers who build custom software fast. Not just tools like pgvector: web and mobile apps, games, desktop software, AI tools, internal tools: whatever you have in mind. 50+ custom products built for clients so far, and we run our own products too: booking platforms, games, learning apps. See our work
- Web apps & SaaS
- Mobile apps (iOS & Android)
- Games
- Desktop software
- AI tools & automations
- Internal tools & dashboards
- Client portals & booking
- Your own version of any tool
- ✓ Free 15-min call to scope it
- ✓ Price agreed up front
- ✓ Your data, your code