Amazon OpenSearch Service

2026-11-02

COMPANIES · 1 SOURCE · AWS Machine Learning

Circle K automates DevOps triage with Amazon Bedrock, cuts mean time to triage to under 15 minutes

Circle K built an automated, agentic triage system on Amazon Bedrock (initially with Bedrock Flows, later migrated to Bedrock AgentCore) that queries logs, services, and internal runbooks and posts structured summaries to Slack; the team reports mean triage time fell to under 15 minutes (a 67–75% reduction by their metrics). The implementation used managed Bedrock features (Agents/AgentCore and Bedrock Knowledge Bases for RAG) to avoid self-hosting models and orchestration code.

6.0

2026-10-07

COMPANIES · 1 SOURCE · AWS Machine Learning

Qlik launches Qlik Answers on Amazon Bedrock (GA Feb 2026)

Qlik has put Qlik Answers — a grounded, enterprise-scale natural-language assistant — into general availability in February 2026 and built it on Amazon Bedrock for chat, embeddings, streaming, and reranking while using Amazon OpenSearch Service for document retrieval. The system uses a layered architecture (routing, specialist agents, conversational analytics, retrieval, and a model-access gateway with Bedrock Guardrails) and reports early adoption metrics (Discovery Agent >100,000 discoveries and widespread agent usage), with customer deployments at Bystronic, Lintech International, and TouchPoint Support Services.

7.0

2026-09-29

COMPANIES · 1 SOURCE · AWS Machine Learning

Condé Nast builds multimodal video discovery with Amazon Bedrock and TwelveLabs Marengo

Condé Nast partnered with the AWS Generative AI Innovation Center to build a multimodal video discovery system using TwelveLabs' Marengo embeddings via Amazon Bedrock and indexed in Amazon OpenSearch Service. The decoupled architecture — embedding generation on Bedrock and low-latency k-NN search on OpenSearch — enables intent-based, image-driven, and timestamped searches across transcripts, audio, and visuals, reducing average discovery time from ~250 minutes to under 2 minutes per task.

6.0

2026-09-18

COMPANIES · 1 SOURCE · AWS Machine Learning

AWS shows how to migrate multi-model Hugging Face smolagents to Amazon Bedrock AgentCore runtime

AWS published a how-to that migrates a multi-model healthcare AI agent built with Hugging Face smolagents from a self-managed Amazon ECS/Fargate deployment to the managed Amazon Bedrock AgentCore runtime. The solution preserves existing agent logic while offloading container lifecycle, scaling, identity, and observability to AgentCore and demonstrates orchestration across Llama 3.1 70B Instruct on Bedrock, BioM-ELECTRA-Large-SQuAD2 on SageMaker (and containerized), plus vector retrieval via Amazon OpenSearch Service.

6.0

2026-09-17

COMPANIES · 1 SOURCE · AWS Machine Learning

AWS outlines vector-store choices for Amazon Bedrock Knowledge Bases (OpenSearch, Aurora pgvector, S3 Vectors)

AWS published guidance for the customer-managed configuration of Amazon Bedrock Knowledge Bases, comparing three supported vector-store backends—Amazon OpenSearch Service (managed and serverless), Amazon Aurora PostgreSQL with pgvector, and Amazon S3 Vectors—and evaluating their tradeoffs across RAG use cases (latency, cost, scalability). The post maps each backend to example workloads such as e-commerce product search and discusses performance and cost implications.

6.0