localstack-extension-pgvector 0.2.0

LocalStack extension to enable pgvector automatically

LocalStack pgvector Extension 🚀

localstack-extension-pgvector is a professional extension for LocalStack designed to simplify the development of AI-driven applications and Vector Search. This extension automatically enables pgvector on every PostgreSQL instance running in LocalStack and provides a web interface via pgweb.

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✨ Key Features

• Auto-Enable pgvector: Automatically executes CREATE EXTENSION IF NOT EXISTS vector; when a PostgreSQL container starts.
• pgweb Integration: Automatically launches a pgweb (Web UI) instance as a sidecar to visualize your vector data.
• Seamless Integration: Supports standard RDS and PostgreSQL instances in LocalStack.
• Health Check Endpoint: Verify extension status via a dedicated HTTP endpoint.

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🛠️ Installation

Using LocalStack Dashboard (Recommended)

Click the badge above or open the LocalStack Extensions Dashboard and enter this repository URL: https://github.com/Nocturnailed-Community/localstack-extension-pgvector

Using CLI

Use the following command to install the extension locally:

localstack extensions install "https://github.com/Nocturnailed-Community/localstack-extension-pgvector"

Local Development (Editable Mode)

1. Clone this repository.
2. Run:

   pip install -e .
   

3. Restart LocalStack.

🐳 Using Docker Compose

For easy local development, you can use the provided docker-compose.yml:

1. Start LocalStack:

   docker compose up -d
   

2. The extension will be installed automatically. Check status:

   curl http://localhost:4566/pgvector-status
   

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🛠️ Usage

1. Start LocalStack:

   localstack start
   

2. Launch PostgreSQL/RDS: Use AWS CLI or SDK to create a database instance. Example:

   awslocal rds create-db-instance --db-instance-identifier mydb --engine postgres --allocated-storage 20
   

3. Access pgweb: Open your browser and navigate to http://localhost:8081 to view your data.
4. Check Status: Verify if the extension is active: http://localhost:4566/pgvector-status

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📡 API Reference (v0.2.0)

All endpoints are accessible via http://localhost:4566/pgvector/...

Status

curl http://localhost:4566/pgvector/status

Table Management

List tables:

curl http://localhost:4566/pgvector/tables

Create a table (with vector column):

curl -X POST http://localhost:4566/pgvector/tables \
  -H "Content-Type: application/json" \
  -d '{
    "table_name": "documents",
    "columns": [
      {"name": "id", "type": "SERIAL PRIMARY KEY"},
      {"name": "content", "type": "TEXT"},
      {"name": "embedding", "type": "vector(3)"}
    ]
  }'

Get table schema:

curl http://localhost:4566/pgvector/tables/documents/schema

Drop a table:

curl -X DELETE http://localhost:4566/pgvector/tables/documents

Data Operations

Insert rows:

curl -X POST http://localhost:4566/pgvector/tables/documents/data \
  -H "Content-Type: application/json" \
  -d '{
    "rows": [
      {"content": "Hello AI", "embedding": "[1,2,3]"},
      {"content": "Vector DB", "embedding": "[4,5,6]"}
    ]
  }'

Get rows (with pagination):

curl "http://localhost:4566/pgvector/tables/documents/data?limit=10&offset=0"

Update rows:

curl -X PUT http://localhost:4566/pgvector/tables/documents/data \
  -H "Content-Type: application/json" \
  -d '{"set": {"content": "Updated"}, "where": "id = 1"}'

Delete rows:

curl -X DELETE http://localhost:4566/pgvector/tables/documents/data \
  -H "Content-Type: application/json" \
  -d '{"where": "id = 1"}'

Raw SQL Query

curl -X POST http://localhost:4566/pgvector/query \
  -H "Content-Type: application/json" \
  -d '{"sql": "SELECT * FROM pg_extension WHERE extname = '\''vector'\'';"}'

🔍 Vector Similarity Search

curl -X POST http://localhost:4566/pgvector/search \
  -H "Content-Type: application/json" \
  -d '{
    "table_name": "documents",
    "column": "embedding",
    "query_vector": [1, 2, 3],
    "distance": "cosine",
    "limit": 5
  }'

Supported distance metrics: cosine, l2, inner_product

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👨‍💻 Contributors

• Muhammad Ikhwan Fathulloh (@Muhammad-Ikhwan-Fathulloh)
• Email: [e-mail]

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📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

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Built with ❤️ by Noc Lab as part of the LocalStack ecosystem.