<- back to the bodik.tech

<- back to the bodik.tech

BK Tricks
AI\ML
- Using PostgreSQL with pgvector extension to store and search embeddings
- JavaScript-based tools
Databases
Infrastructure
- AWS
  - SAM
    Schema to create a resource of DynamoDB table using SAM
    Example of enabling streaming functionality of DynamoDB table using SAM resource
    Schema to create Lambda function resource using SAM
    Adding environment variables to Lambda function resource using SAM
    Adding a scheduled timer to start Lambda function resource using SAM
    Reading stream from DynamoDB by Lambda function declared using SAM
    Schema to create a resource of SQS queue using SAM
  - CloudFront
    How to make redirect using Lambda@Edge?
Programming
- JavaScript
Tools
- Kafka
Math
- Transform the number from one numeric range to another
Frontend
- Useful resources

Powered by GitBook

On this page

AI\ML

Using PostgreSQL with pgvector extension to store and search embeddings

Notes on how to use pgvector in PostgreSQL in the most optimal way.

PreviousBK Tricks NextJavaScript-based tools

Last updated 1 year ago

Accelerate HNSW indexing and searching with pgvector on Amazon Aurora PostgreSQL-compatible edition and Amazon RDS for PostgreSQL | Amazon Web ServicesAmazon Web Services

How to optimize performance when using pgvector - Azure Database for PostgreSQL - Flexible ServerMicrosoftLearn