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This is some random text about the insights page 

The insights page

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Janea Systems is a software engineering consultancy, serving the enterprises that drive global innovation for over two decades. We help our clients build and optimize technologies used by millions of developers and billions of consumers. 

Solving the Most Complex Software Engineering Problems

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How to Build a Vector Database Using Amazon S3 Vectors

Vector databases are powerful — and often expensive. In this article, you'll learn how to build a scalable, low-cost vector search system using S3 Vectors, Product Quantization (PQ), and open-source tools.  For tabular or log data, we decoupled compute and storage a long time ago: store data cheaply in S3 or MinIO, and spin up compute (like Spark or Presto) only when needed.

  
Amazon has now extended this model to vector embeddings with Amazon S3 Vectors. \[Quick dive here\]

  
S3 Vectors lets you store huge volumes of vector data at low cost and run similarity searches in under a second — ideal for batch workloads and analytics.   
 

_**Can we ditch expensive Vector DBs now?**_

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How to Build a Vector Database Using Amazon S3 Vectors

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