Decreasing RAG costs💸 by -81.30% for Client with Serveless & scalable PostgreSQL database in AWS

16d (edited) • Full Stack Development with AI

Hey folks,

The Severless 2-Aurora PostgreSQL AWS engine database engine & instance allows you to effectively create a severless instance for hosting your databases based on time intervals of inactivity (e.g. if the instance has not been active for 5 minutes it goes into "Puause" mode, stopping instance utilization costs). It has pgVector extension support to convert the tabular data into embeddings with pgvector 0.7.0, HNSW indexes, Multiple distance functions,Parallel index building

Additionally, it has has the feature of sharding (what a name 🤣), which is the database instance equivalent of horizonal group scaling (i.e. adding more instances of the same CPU type in order to cope with the erratic demands from other servers).

My client and I had budgeted more than $200 per month of AWS RSD (i.e. database instance) cost, but would decrease the cost to ~$40 per month! This blurs the line between setting up a testing and production environment database since you would essentially would have the ability to scale down or up without having to click a botton.

Recommend you all to check out the database if you work with AWS:

https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-serverless-v2.html

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