Amazon Web Services → Microsoft Azure
Azure equivalent of Amazon Bedrock Knowledge Bases
The Azure equivalent of Amazon Bedrock Knowledge Bases is Foundry IQ knowledge bases, which run on Azure AI Search with agentic retrieval.
About Amazon Bedrock Knowledge Bases
| Provider | Amazon Web Services |
|---|---|
| Status | Generally available |
| What it is | Managed RAG. Managed Knowledge Base (AWS runs ingestion, storage, and agentic retrieval) or customer-managed (bring your own vector store, such as OpenSearch Serverless, Aurora, or Neptune). |
| Documentation | docs.aws.amazon.com |
| Pricing | Official pricing page |
Azure mappings (2)
| Capability | Azure equivalent | Match |
|---|---|---|
| Managed RAG / knowledge bases | Foundry IQ (knowledge bases) Preview, Azure AI Search | Direct match |
| Enterprise / intelligent search | Azure AI Search | Partial match |
Safety, RAG & search(2)
Managed RAG / knowledge bases Direct match
The Azure equivalent of Amazon Bedrock Knowledge Bases is Foundry IQ knowledge bases, which run on Azure AI Search with agentic retrieval.
- Bedrock offers a Managed Knowledge Base (AWS runs ingestion, storage, and agentic multi-hop retrieval) or customer-managed vector stores (OpenSearch Serverless, Aurora, Neptune Analytics graphs, Kendra GenAI index, structured data stores).
- Foundry IQ is a multi-source knowledge base on Azure AI Search. It covers Blob, SharePoint, OneLake, and web sources, syncs ACLs, honors Microsoft Purview sensitivity labels, and enforces permissions at query time under the caller's Entra identity.
- Foundry IQ is partly GA and partly preview depending on the Search REST API version. Bedrock Knowledge Bases is GA.
Enterprise / intelligent search Partial match
Amazon Kendra maps to Azure AI Search, but Kendra is in maintenance mode (no new customers since July 30, 2026), and AWS now points new search workloads to Bedrock Managed Knowledge Base.
- Kendra is a turnkey search service (connectors, FAQs, relevance tuning). Azure AI Search is a more general engine. You build indexes with indexers, skillsets, and integrated vectorization, and you get full-text, vector, and hybrid search plus semantic reranking.
- For log analytics or OpenSearch-style workloads, Azure AI Search isn't a replacement (per Microsoft's AWS comparison guide).
- Migration note. AWS's Kendra-to-Bedrock-Managed-KB guide lists feature gaps and workarounds.