OpenAI GPT-5.6 Sol, Terra, and Luna are available on Amazon Bedrock, covering requirements from complex reasoning to cost-effective high-volume inference.
The Model Profiler aggregates model metadata from seven data sources into a single web interface with filtering, comparison, and availability maps to accelerate model selection for CTOs.
HippoRAG improves RAG systems through graph-based knowledge management and Personalized PageRank to answer questions that require connecting information from multiple sources.
HippoRAG uses knowledge graphs and Personalized PageRank instead of iterative queries to support LLMs on questions that must connect information from multiple documents.
Managed Entitlements for AWS Bedrock enables centralized subscription to third-party AI models and their distribution across multiple accounts without decentralized Marketplace permissions.
PAR Technology does not treat LLM models as security boundaries for multi-tenant data, but instead locks down data access through cryptographic signing, semantic validation, and programmatic SQL isolation.
Stripe reduces compliance processing time by 26 percent with AI agents on AWS, while analysts retain decision-making authority and complete audit trails are ensured.
Chaplin enables Operations teams to autonomously analyze AWS Health Events through AI agents without waiting for TAM support, by exposing AWS Health APIs via the Model Context Protocol as tools for Claude and other MCP clients.
A pool model for multi-tenancy on Bedrock AgentCore enables logical isolation with shared infrastructure through scoping, access policies, and data partitioning.
Bedrock AgentCore connects agents with three layers of knowledge (enterprise, web, paid data sources) and mechanisms for productive monitoring and optimization without requiring teams to operate their own data pipelines.
