Next steps and resources
After reviewing this guide, consider the following actions to move from understanding to implementation:
-
Evaluate your current needs:
-
Assess your existing database infrastructure and expertise.
-
Document your specific vector search requirements.
-
Define your performance, scaling, and cost targets.
-
-
Choose one of the following options to test vector database options:
-
Option 1: Set up a proof of concept using your preferred vector database solution.
-
Option 2: Experiment with sample datasets in Amazon Bedrock Knowledge Bases. Try the quick-create experience for an Amazon Bedrock Knowledge Base. For an example, see Quick create an Aurora PostgreSQL Knowledge Base for Amazon Bedrock in the Aurora documentation.
-
-
Review additional resources.
-
Get expert help:
-
Contact your AWS account team or AWS Solutions Architects for implementation guidance.
-
Engage with AWS Partners
that specialize in vector databases.
-
-
Plan your production deployment:
-
Create a migration strategy if moving from existing databases.
-
Develop a scaling plan for your chosen solution.
-
Design your monitoring and maintenance procedures.
-
Resources
The following resources can help you in choosing a vector database.
AWS blog posts
AWS service documentation
Other AWS resources
Other resources
