As whether one vector db is better than another, it depends on functional and non functional requirements. Nevertheless, given you want to use bedrock, my suggestions would be to use pine cone (marketplace or dockerized in ec2, Ecs or Eks), or either use opensearch serverless or RDS Aurora with pg vector, both available in Frankfurt.
You should also try Vectara: it's a retrieval-augmented-generation service and super easy to build your own chatbot with. There is an API endpoint to ingest your documents, and then Vectara takes care of the chunking, embedding and storing in the vector store. And from the lambda you simply call the query API to get the response. Super easy to setup and use (see docs for more details).
It's available on the AWS marketplace
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