# AWS adds multimodal data processing to Bedrock Knowledge Bases

> AWS announced that Bedrock Knowledge Bases could process text and visual content such as images, charts, diagrams, and tables. The release described extraction, embeddings, vector storage, and source attribution, with distinct availability statements for preview and foundation-model parsing options that teams need to check before use.

Canonical: https://hypler.com/ai-news/aws-bedrock-multimodal-knowledge-bases-2024
Hypler publication: 2026-10-06
Original source date: 2024-12-04
Publisher: AWS
Article kind: source-briefing
Category: Infrastructure
Tags: multimodal RAG, AWS, provenance

## Engineering relevance

Multimodal retrieval adds extraction and attribution failure modes. Hypler should test documents representative of production inputs and show users what source material supported an answer.

## Original source

- [AWS](https://aws.amazon.com/about-aws/whats-new/2024/12/amazon-bedrock-knowledge-bases-processes-multimodal-data/)

## Image provenance

### Primary image

![Generated illustration of accelerator servers and cooling infrastructure, not a real vendor facility.](https://hypler.com/assets/news/ai-infrastructure.webp)

generated illustration. Credit: Hypler / AI-generated editorial illustration. Hypler editorial asset; not vendor or event photography.
- [Image source](https://hypler.com/ai-news/media.md)

### Supporting image

![Generated illustration of connected accelerator trays and cooling channels; not a vendor facility.](https://hypler.com/assets/news/cluster-scaling.webp)

generated illustration. Credit: Hypler / AI-generated editorial illustration. Hypler editorial asset; not vendor or event photography.
- [Image source](https://hypler.com/ai-news/media.md)

## Reading boundary

Historical source briefing, not current availability, compliance advice, partnership, or proof of Hypler deployment. Generated artwork is not event photography. Public reading grants no private access or execution authority.