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IskayPet builds a corporate knowledge assistant using Amazon Bedrock Managed Knowledge Bases

IskayPet deployed an AI knowledge assistant across three countries and four languages using Amazon Bedrock Managed Knowledge Bases and Claude Haiku 4.5.

IskayPet builds a corporate knowledge assistant using Amazon Bedrock Managed Knowledge Bases — image from AWS
Image: AWS

Summary

IskayPet created a corporate knowledge assistant to unify hundreds of SharePoint documents across Spain, Portugal, and France. Using Amazon Bedrock Managed Knowledge Bases, the team avoided running custom vector databases, embedding pipelines, and ingestion jobs. They built the frontend and architecture using Kiro with Claude Haiku 4.5.

What changed

  • IskayPet built a corporate knowledge assistant on Amazon Bedrock Managed Knowledge Bases.
  • The team used the native SharePoint connector to ingest documents without a data migration.
  • The solution uses hybrid search and managed reranking to retrieve relevant passages.
  • The application uses Claude Haiku 4.5 via Kiro for the frontend and AWS architecture.

Availability

Available now

“If you’re facing a similar knowledge-retrieval challenge, you can start on the AWS Free Tier and build your first knowledge base on the Amazon Bedrock console.”

Founder takeaway

Small teams can build production retrieval-augmented generation applications faster by using managed knowledge bases and native connectors instead of custom infrastructure.

Source

AWSHow IskayPet unified corporate knowledge with Amazon Bedrock Managed Knowledge Bases | Amazon Web Services

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