Skip to main content
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in

Stay Ahead in the AI Revolution

Weekly digest — EPI pulse, top intelligence, fresh lineage. Free, no account.

Follow Angestrom
Global source network
Synced every 5 minutes

Continuous sync from primary AI sources — indexed, enriched, and queryable in real time.

arXivHugging FaceGitHubOpenAIAnthropicDeepMindReutersBBC TechHacker NewsReddit MLVerified feedsFunding
Angestrom

Angestrom connects every piece of the AI ecosystem — data, models, research, companies, tools, and people.

info@angestrom.comwww.angestrom.comLucknow, Uttar Pradesh, India

Product

  • AI Search
  • AI Models
  • Research Papers
  • Companies
  • News & Events
  • GitHub Explorer
  • APIs & Tools
  • Datasets
  • Benchmarks
  • Model lifecycle
  • Funding graph
  • Contributors
  • AI Agents

Resources

  • Weekly digest
  • Documentation
  • Tutorials
  • Guides
  • News
  • Help / Start
  • Community

Company

  • About
  • Contact
  • Privacy Policy
  • Terms of Service
  • Acceptable Use

Enterprise

  • Pricing
  • Workspace
  • Contact Sales

Developer

  • Developer Hub
  • API docs
  • GitHub

Learn

  • Learning Academy
  • Roadmaps
  • Glossary
  • AI for Beginners

Popular Topics

Loading topics…
View All Topics →
© 2026 Angestrom. All rights reserved.
English
Theme
Angestrom home
SearchPapersModelsLive AIIntelligence
Search⌕⌘K
EnterprisePricingSign in
  1. Home
  2. /Repositories
  3. /aws-samples/bedrock-kb-rag-workshop
Read original ↗
repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 1mo ago

aws-samples/bedrock-kb-rag-workshop

Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 54%Simplify model selection in Amazon Bedrock with the open source Model Profiler →
  • PossiblePossibly related (embedding) · 51%RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM →
  • PossiblePossibly related (embedding) · 51%DynaKRAG: A Unified Framework for Learnable Evidence Control in Multi-Hop Retrieval-Augmented Generation →
  • PossiblePossibly related (embedding) · 49%HippoRAG: Neurobiologically inspired RAG using Amazon Bedrock, Amazon Neptune, and personalized PageRank →
  • PossiblePossibly related (embedding) · 48%Build a protein research copilot with Amazon Bedrock AgentCore →
  • PossiblePossibly related (embedding) · 53%Improve contract search accuracy with auto-generated filters in Amazon Bedrock →
  • PossiblePossibly related (embedding) · 52%KnowledgeForge: mining gold from the ITSM ticket graveyard →
  • PossiblePossibly related (embedding) · 61%Reduce RAG costs on Amazon Bedrock with query-aware compression →

Covers

newsSimplify model selection in Amazon Bedrock with the open source Model ProfilernewsHippoRAG: Neurobiologically inspired RAG using Amazon Bedrock, Amazon Neptune, and personalized PageRanknewsBuild a protein research copilot with Amazon Bedrock AgentCore

Implements

paperRAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLMpaperDynaKRAG: A Unified Framework for Learnable Evidence Control in Multi-Hop Retrieval-Augmented Generation

Covers (incoming)

newsImprove contract search accuracy with auto-generated filters in Amazon BedrocknewsKnowledgeForge: mining gold from the ITSM ticket graveyardnewsReduce RAG costs on Amazon Bedrock with query-aware compressionnewsAgentic retrieval for Amazon Bedrock Managed Knowledge BasenewsAgentic retrieval for Amazon Bedrock Managed Knowledge Base - Amazon Web Services (AWS)newsScaling medical content review at Flo Health with Amazon Bedrock – Part 2newsBuild enterprise search for agents with Amazon Bedrock Managed Knowledge Base

Related across the graph

paperDynaKRAG: A Unified Framework for Learnable Evidence Control in Multi-Hop Retrieval-Augmented GenerationnewsBuild enterprise search for agents with Amazon Bedrock Managed Knowledge BasenewsSimplify model selection in Amazon Bedrock with the open source Model ProfilernewsImprove contract search accuracy with auto-generated filters in Amazon BedrocknewsBuild a protein research copilot with Amazon Bedrock AgentCorepaperRAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLMnewsReduce RAG costs on Amazon Bedrock with query-aware compressionnewsAgentic retrieval for Amazon Bedrock Managed Knowledge Base - Amazon Web Services (AWS)newsScaling medical content review at Flo Health with Amazon Bedrock – Part 2newsKnowledgeForge: mining gold from the ITSM ticket graveyardnewsAgentic retrieval for Amazon Bedrock Managed Knowledge BasenewsHippoRAG: Neurobiologically inspired RAG using Amazon Bedrock, Amazon Neptune, and personalized PageRank
Knowledge path·PDynaKRAG: A Unified Framework for Learnable Evidence Control in Multi-Hop Retrieval-Augmented Generation→NBuild enterprise search for agents with Amazon Bedrock Managed Knowledge Base→NSimplify model selection in Amazon Bedrock with the open source Model Profiler→Raws-samples/bedrock-kb-rag-workshop

Topics

amazon-bedrockbedrockclaude2knowledge-basellmllm-agentopensearch-serverlessragvector-database

Explore

Search similar →Knowledge graph →All repos →Full intelligence feed →
Graph trust82Primary
Graph score64