# @awseventschannel on YouTube

- **Type:** Video
- **Original URL:** https://youtube.com/watch?v=MpmV-MehtWs
- **Gondola URL:** https://gondola.cc/posts/80053436-awseventschannel-youtube
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/850af0d04f.jpg
- **Posted:** 2024-08-09T23:39:52.000+00:00
- **Account Owner:** AWS Events (@awseventschannel) — https://gondola.cc/awseventschannel

## Caption

Using Knowledge Bases for Amazon Bedrock with Amazon Aurora creates a easy-to-manage pipeline for taking your document data and adding it to your Aurora database, allowing you to build generative AI applications that work with your existing data. In this episode, learn how to use Aurora as a Knowledge Base for Bedrock for retrieval-augmented generation.
Learn more about AWS events: https://go.aws/3kss9CP
 
Follow AWS OnAir: 
LinkedIn: https://bit.ly/AWSOnAir-LinkedIn 
Twitch: https://bit.ly/Twitch-AWS-OnAir 

ABOUT AWS
Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

Read all about it in the AWS Databases Blog https://go.aws/3WFEAMJ

#AmazonAurora #Aurora #AuroraPostgreSQL #generativeAI #pgvector, #LangChain #AmazonBedrock #KnowledgeBases #vectorsearch #RAG #Retrieval-augmentedgeneration #embeddings

## Stats

- **Views:** 4,575
- **Likes:** 62
- **Shares:** 0
- **Comments:** 10

## Credits

No public credits are recorded here. This does not identify who made the post.

## Tags

rag, generativeai, amazonbedrock, pgvector, knowledgebases, retrieval, aurorapostgresql, vectorsearch, langchain, embeddings, amazonaurora, aurora

---
Copyright (c) Gondola