As you’ve noticed, I’ve been living in Amazon Bedrock for the past week, working on a new AI assistant for a client.
One of the reasons that AWS is so successful is the way their services work together.
Today I want to show you another AI-adjacent service . . . Amazon Kendra.
Kendra is a really powerful search tool that connects to a TON of different services, including Gmail, Google Drive, Github, etc.
It provides intelligent indexing and searching across all of your favorite tools.
So what does Kendra have to do with Bedrock?
If you’re going to build a powerful AI Assistant, it needs to have access to the business data you want to provide to your AI assistant.
Bedrock offers a feature called Knowledge Bases . . . this is where your AI-searchable data lives.
Where do the Knowledge Bases get their data?
From Amazon Kendra!
This is a really powerful way to connect your business data to your AI assistant without minimal coding.
Cost-wise, it’s about $.32/hour per index (basically each connection connection).
Healthcare Information Portal Implementation
Mid-Sized Healthcare Provider (500 employees, 50K patient records)
Used Amazon Kendra GenAI Enterprise Edition for patient search and agent tools:
Component | Configuration | Monthly Cost |
---|---|---|
Base Index | 20K documents, 8K queries/day | $230.40 |
Additional Storage | +30K documents (150K total) | $151.20 |
Query Capacity | +12K queries/day (20K total) | $126.00 |
Total | $507.60/mo |
You don’t HAVE to use Amazon Kendra to search your data, but the seamless integration with Bedrock makes it the logical best choice.
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