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Bedrock

Agents for Amazon Bedrock - Amazon Bedrock
How Agents for Amazon Bedrock works - Amazon Bedrock
amazon-bedrock-workshop/02_KnowledgeBases_and_RAG/1_managed-rag-kb-retrieve-generate-api.ipynb at a7e62b80669378de1bae414e0b646399c7934f8e · aws-samples/amazon-bedrock-workshop · GitHub
amazon-bedrock-samples/rag-solutions/contextual-chatbot-using-knowledgebase at main · aws-samples/amazon-bedrock-samples · GitHub
Create a Superpowered AI Chatbot: Integrating Tools with Amazon Bedrock Converse API - YouTube
Setting up AWS Bedrock for API-based text inference | by Péter Harang | Medium
How content chunking works for knowledge bases - Amazon Bedrock
Amazon Bedrock Knowledge Bases now supports advanced parsing, chunking, and query reformulation giving greater control of accuracy in RAG based applications | AWS Machine Learning Blog
Crawl web pages for your knowledge base - Amazon Bedrock
Retrieve data and generate AI responses with Amazon Bedrock Knowledge Bases - Amazon Bedrock

Web Crawl

Memory using Agents

Agents for Amazon Bedrock now support memory retention and code interpretation (preview) | AWS News Blog
Retain conversational context across multiple sessions using memory - Amazon Bedrock
If memory is enabled, your agent retains the sessions in the memory for up to 365 days. You can optionally configure the retention period by specifying a duration between 1 and 365 days. All session summaries beyond this duration will be deleted.
View memory sessions - Amazon Bedrock
Enable agent memory - Amazon Bedrock

Learning

Amazon Bedrock Getting Started - https://explore.skillbuilder.aws/learn/course/external/view/elearning/17508/amazon-bedrock-getting-started
Building Generative AI Applications Using Amazon Bedrock - https://explore.skillbuilder.aws/learn/course/external/view/elearning/17904/building-generative-ai-applications-using-amazon-bedrock

Web Crawl
Memory using Agents
Learning