Amazon Bedrock Knowledge Bases vs Google Vertex AI Search
On the evidence we track, Amazon Bedrock Knowledge Bases leads this comparison with a composite score of 61/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for rag tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Amazon Bedrock Knowledge Bases
LeaderAmazon Bedrock Knowledge Bases is a fully managed service that integrates generative AI applications with company proprietary data sources. It handles data ingestion, embedding, storage, and retrieval from sources like S3, SharePoint, and Confluence, and integrates natively with Bedrock agents to build AI systems without custom code.
Google Vertex AI Search
A comprehensive development platform that enables teams to rapidly create and scale autonomous agents powered by multiple AI model options, with built-in governance, enterprise data grounding, and integration capabilities.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Amazon Bedrock Knowledge Bases
LeaderUsage-based starting at $0.010 per page and $1.00 per 1,000 API calls. Free managed search index. Multiple tiers available (Standard, Flex, Priority, Reserved).
- StandardPay per page ($0.010), per Retrieve API call ($1.00/1k), and per image for fine-tuning ($0.005)
- Knowledge base storage and retrieval
- Native data connectors
- Smart parsing
- Multimodal processing
- Built-in observability
- Flex50% discount to Standard tier pricing
- Knowledge base storage and retrieval
- Native data connectors
- Smart parsing
- Multimodal processing
- Built-in observability
- Priority75% premium to Standard tier pricing
- Knowledge base storage and retrieval
- Native data connectors
- Smart parsing
- Multimodal processing
- Built-in observability
- ReservedPer-hour pricing per model unit with commitment discounts
- Reserved model units
- Committed pricing
Google Vertex AI Search
Pay-as-you-go for platform tools, storage, compute, and cloud resources. New customers receive $300 in free credits.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Amazon Bedrock Knowledge Bases
Leader- Amazon S3
- SharePoint
- Confluence
- Google Drive
- OneDrive
- Web crawlers
- Amazon Bedrock AgentCore
- Asana
- LangChain
- Strands
Google Vertex AI Search
- Google Cloud Storage
- Google Cloud Logging
- Google Cloud Monitoring
- BigQuery
- Cloud Data Fusion
- Cloud Dataflow
- Cloud Composer
- Service Directory
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.