Repository dedicated to Term Project of UofT Intelligent Agents
Building Generative AI application RAG with Amazon Aurora and Amazon Bedrock Knowledge Base.
This repository contains sample code demonstrating how to implement a verified semantic cache using Amazon Bedrock Knowledge Bases to prevent hallucinations in Large Language Model (LLM) responses while improving latency and reducing costs.
This demonstration showcases an AI assistant designed for gas station pricing analysts.
Document Comparison using Amazon Bedrock
This repository contains the implementation of various AWS AI Services.
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies through a single API, along with a broad set of capabilities you need to build generative AI applications.
It shows how to monitoring LLM.
AI assistant for a store inventory
AWS_AI_Cloudflare_workshop, Kaosiung 20240606
Using NVIDIA NeMo Guardrails with Amazon Bedrock via LangChain
Amazon Nova models - Python examples
Repository for vct_team_manager for AWS X VCT hackathon submission.
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Amazon Bedrock RAG with LangChain
AWS Workshop #002 AI powered Email Auto Reply
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