Introducing Amazon Bedrock Managed Knowledge Base for faster, more accurate enterprise AI applications

AWS introduces Web Search on Amazon Bedrock AgentCore, a fully managed tool that enables agents to ground responses in current, cited web knowledge with zero data egress from customer's secured AWS environment. You can focus on building agents instead of manually adding web search to agents on Bedrock AgentCore and managing its infrastructure.

AWS announces the availability of Claude Fable 5 on Amazon Bedrock and Claude Platform on AWS. Claude Fable 5 makes Mythos-level capabilities available to all customers, with strong safeguards designed to make it safe for broader use.

You can use the new console experience to browse and compare the latest AI models on Amazon Bedrock side by side, organize work into projects with streamlined evaluation workflows, and access project-aware documentation with auto-prefilled code snippets ready to copy and run.

OpenAI frontier models GPT-5.5 and GPT-5.4, and Codex, the OpenAI coding agent, are now generally available on Amazon Bedrock. Deploy frontier models on Bedrock's high performance inference engine with built-in security, governance, and pay-per-token pricing.

turbovec brings Google Research's TurboQuant algorithm to vector search, offering 16x compression and zero codebook training for RAG pipelines. The post Meet Turbovec: A Rust Vector Index with Python Bindings, and Built on Google’s TurboQuant Algorithm appeared first on MarkTechPost.

AWS late on Thursday added a new prompt optimization tool to Amazon Bedrock, its fully managed service for building, deploying, and scaling generative AI applications. The tool, Amazon Bedrock Advanced Prompt Optimization, can be accessed through the Bedrock console, and is designed to automatically refine prompts for better accuracy, consistency, and efficiency across multiple large language models, the hyperscaler wrote in a blog post. The tool works by first evaluating prompts against user-defined datasets and metrics, then rewriting them to optimize them for up to five inference models. It then benchmarks the optimized versions against the originals across the models to help developers identify the best-performing configurations for specific workloads, AWS said. Currently, it is generally available across multiple AWS regions, including US East, US West, Mumbai, Seoul, Singapore, Sydney, Tokyo, Canada (Central), Frankfurt, Ireland, London, Zurich, and São Paulo. The company said th

Amazon Bedrock Advanced Prompt Optimization enables customers to optimize their prompts for their current model or migrate prompts to new models faster than before with built-in evaluation feedback loops. Optimize your prompts and compare results for up to 5 models simultaneously.

My most exciting news of last week: Amazon Bedrock AgentCore previewed the first managed payment capabilities enabling AI agents to autonomously access and pay for APIs, MCP servers, web content, and other agents. Built in partnership with Coinbase and Stripe, it removes the undifferentiated heavy lifting of building customized systems for billing, credential management, and […]