Back to News
Models
Agentic retrieval with LangChain and Amazon Bedrock Knowledge Bases
Amazon.com·October 5, 2026·1 min read
AI Summary
Build a Retrieval Augmented Generation (RAG) application on Amazon Bedrock Managed Knowledge Base with LangChain, and see how agentic retrieval handles the multi-part questions that single-shot retrieval answers poorly.
From the source
Build a Retrieval Augmented Generation (RAG) application on Amazon Bedrock Managed Knowledge Base with LangChain, and see how agentic retrieval handles the multi-part questions that single-shot retrieval answers poorly. Run the same query through both paths, …
The full text couldn't be loaded here (the source may require a subscription).
View original at Amazon.comKeep reading
‘I Don’t Think We’re All F***ed Anymore’New York Magazine · 1d agoShow HN: Speck – Cognitive architecture for small local LLMsGithub.com · 1d agoA New Type of LLM on the Block: Decision-Making ModelsHackaday · 1d agoADWEEK Tech Advantage: AI Agents Are Increasingly Getting Their Hands on Ad DollarsAdweek · 1d ago
Was this useful?