# Aws Bedrock Knowledge Bases

> Publicly sourced profile assembled by Optimly, in the Optimly AI Brand Index. Last refreshed 2026-10-04.

- **Business Profile:** https://optimly.ai/brand/aws-bedrock-knowledge-bases
- **Dataset:** https://optimly.ai/brand/aws-bedrock-knowledge-bases.json
- **Markdown:** https://optimly.ai/brand/aws-bedrock-knowledge-bases/llms.txt
- **Official website:** https://amazon.com
- **Slug:** aws-bedrock-knowledge-bases
- **Categories:** ai-machine-learning, cloud-infrastructure, developer-tools

## Overview

- **Tagline:** Fully automates the RAG pipeline including chunking and embedding without requiring manual orchestration of different AWS services.
Source: Brand's website (https://amazon.com) · 2026-10-04

- **Description:** AWS Bedrock Knowledge Bases is a fully managed capability of Amazon Bedrock that helps developers implement Retrieval-Augmented Generation (RAG). It automates the end-to-end workflow of ingesting, chunking, and storing data in vector databases to provide LLMs with relevant, proprietary context.
Source: Brand's website (https://amazon.com) · 2026-10-04

## Offerings

- **Core capabilities:**
  - Managed RAG service
  - data ingestion connectors
  - vector database integration.
Source: Brand's website (https://amazon.com) · 2026-10-04

- **Pricing:** Usage-based
Source: Brand's website (https://amazon.com) · 2026-10-04

## Audience

- **Target industry:** Enterprise developers, AI startups, Data engineers.
Source: Brand's website (https://amazon.com) · 2026-10-04

## Landscape

- **Competitors:**
  - Google Vertex AI Search and Conversation
  - Azure AI Search (formerly Azure Cognitive Search)
  - LangChain
  - Pinecone Canopy
Source: Brand's website (https://amazon.com) · 2026-10-04

Page last updated 2026-10-17.