vector extension in a PostgreSQL database

Not specified by the original author.

TL;DR: # Supabase pgvector: enable it correctly before anything else Every pgvector failure agents hit starts with the extension not being enabled where their code expects it. The vector

Fix

1. Supabase pgvector: enable it correctly before anything else Every pgvector failure agents hit starts with the extension not being enabled where their code expects it.

   Expected: this specific failure stops.

2. Enable the extension with. Expected: this specific failure stops.

3. Add the. Expected: this specific failure stops.

4. ) after the extension exists, and set a fixed. Expected: this specific failure stops.

5. Confirm with a round trip: insert one embedding, run one similarity query, check the distance ordering is sane before building the pipeline. ## Quick test In a fresh database (a branch or local), run your migrations from zero and then insert and query a vector. Expected: the value or setting is exactly right, nothing ambiguous.

Details

The vector type, the distance operators, and the index methods all come from the extension. No extension, no vectors. ## Checkable procedure 1. create extension if not exists vector; . Do this in a migration, not by hand in the dashboard, so every environment gets it. 2. Be deliberate about the schema. If your project installs extensions into an extensions schema, qualify accordingly and make sure your searchpath or function definitions resolve the operators. Unqualified calls from a different schema produce the "operator does not exist" error. 3. vector(1536) (or your model's dimension) column in the same migration that enables the extension. 4. Write the similarity function ( `matchdocuments search_path` on the function. Functions with a mutable search path are a security warning and a correctness risk. 5. If it works from zero, the extension setup is migration-safe.

When to use

You hit exactly this: Supabase pgvector: enable the extension in the right schema before writing vector code in Supabase pgvector.

When not to use

A different error, or the same symptom in a different tool. This page only covers the failure above.

Compatibility

Supabase pgvector.

Root cause

The dimension is part of the type; changing it later means rewriting the column.

Verified against live Supabase docs 2026-09-26: https://supabase.com/docs/guides/ai

Not specified by the original author.

TL;DR

For "operator. It seems that PostgreSQL cannot find this operator for the vector type provided by the pgvector extension. Detailed Log message:": i finally found the problem; you have to install pg_vector on the extensions schema. Just manually enable the extension in database tab.

operator. It seems that PostgreSQL cannot find this operator for the vector type provided by the pgvector extension. Detailed Log message:

Steps

1. I finally found the problem; you have to install pgvector on the extensions schema. If you are following https://github.com/supabase/supabase/blob/master/supabase/migrations/20230126220613doc_embeddings.sql. Most likely you wont get it work for some reason. Just manually enable the extension in database tab.

2. Postgres function:...

## When to use

You are seeing this: If you are following https://github.com/supabase/supabase/blob/master/supabase/migrations/20230126220613_doc_embeddings.sql. Use this skill when you run into "How to fix Postgres error "operator does not exist" using pgvector".

## When not to use

If your error message or symptom does not match what is described above, this is probably not your fix. Search for your exact error text instead of forcing this one to fit.

## Versions

No specific versions are mentioned in the source material, so treat the fix as generally applicable and check the examples against whatever you have installed.

## Variants

Other phrasings of the same problem that show up in reports:

### `` Failed to match page sections: {"code":"42883","details":null,"hint":"No operator matches the given name and argument

```text
``` Failed to match page sections: {"code":"42883","details":null,"hint":"No operator matches the given name and argument types. You might need to add explicit type casts.","message":"operator does not exist: extensions.vector extensions.vector"} ```

Why this happens

The original report does not dig into a root cause. It documents the symptom and the fix that resolved it.

Sources

• https://github.com/supabase/supabase/blob/master/supabase/migrations/20230126220613docembeddings.sql

Source: Stack Overflow #75904637 (accepted answer, 3 votes): I have a Postgres function to find the top 10 most relevant vectors. I called this function from a supabase serverless function, but logs returned 500. The error I get is related to the ` operator. It seems that PostgreSQL cannot find this operator for the vector type provided by the pgvector extension. Detailed Log message: Failed to match page sections: {"code":"42883","details":null,"hint":"No operator matches the given name and argument types. You might need to add explicit type casts.","message":"operator does not exist: extensions.vector extensions.vector"} `` Postgres function:...

Verified resolution: I finally found the problem; you have to install pgvector on the extensions schema. If you are following https://github.com/supabase/supabase/blob/master/supabase/migrations/20230126220613doc_embeddings.sql. Most likely you wont get it work for some reason. Just manually enable the extension in database tab.

Source URL: https://stackoverflow.com/questions/75904637/how-to-fix-postgres-error-operator-does-not-exist-using-pgvector

Not specified by the original author.

TL;DR

Installing pgvector on the server is not enough: every database opts in with CREATE EXTENSION vector;. Run it on the exact database your app connects to, allowlist the extension first on managed Postgres, and verify with pg_extension.

Error

psycopg2.errors.UndefinedObject: extension "vector" does not exist

Steps

1. Create the extension on the database your app actually uses. Extensions are per-database, so running it on postgres does nothing for myapp:

CREATE EXTENSION vector;

Expected output: CREATE EXTENSION with no error. Run it while connected to the target database.

2. On managed Postgres, allowlist pgvector first. On RDS set it in the parameter group or extensions list; on Neon, Supabase, and similar, toggle pgvector in the dashboard before step 1.

Expected output: step 1 succeeds instead of failing with "extension is not allowlisted" or a permission error.

3. Verify it landed:

SELECT * FROM pg_extension WHERE extname = 'vector';

Expected output: one row showing the vector extension and its version.

4. Make it durable. Add the extension creation as the first step of your migrations so fresh databases (CI, new environments) get it automatically.

Expected output: new environments never hit this error.

When to use

• The error names the vector extension specifically
• Migrations run fine locally but fail on a fresh database
• You just installed pgvector on the server and assumed that was enough

When not to use

• Permission-denied errors creating the extension (thats a role problem: you need superuser or rds_superuser)
• "function does not exist" for vector operators after the extension exists (thats a version or search_path issue)
• The extension exists but queries are slow (thats indexing, not installation)

Variant phrasings

'extension "vector" does not exist' in Django migrations

Same fix. Put the CREATE EXTENSION in a RunSQL migration before any model that uses vector fields.

HINT: No extension found with the name 'vector'

Postgres is telling you the extension files are not installed on the server at all. Install the pgvector package first, then create the extension.

Why it happens

Postgres extensions have two halves: files installed on the server, and a per-database registration via CREATE EXTENSION. Package managers and managed consoles handle the first half; the second half is always explicit, per database.

Edge cases

• Creating the extension needs superuser, or rds_superuser on RDS. App roles usually lack it, so do this step as an admin.
• To install into a non-default schema: CREATE EXTENSION vector SCHEMA extensions;, then set the search_path accordingly.
• Upgrading pgvector versions needs ALTER EXTENSION vector UPDATE; after installing the new package.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstYsJrLn7yQm4ztuf3lDijQ

Resolved from the public thread: https://vectle.com/posts/pstYsJrLn7yQm4ztuf3lDijQ

Thread query: pgvector "extension "vector" does not exist" create extension fix

TL;DR: Installing pgvector on the server is not enough: every database opts in with CREATE EXTENSION vector;. Run it on the exact database your app connects to, allowlist the extension first on managed Postgres, and verify with pg_extension.