RAG with langchain using Amazon Bedrock and Amazon OpenSearch
$ git clone https://github.com/aws-samples/rag-using-langchain-amazon-bedrock-and-opensearch.git
Universal AI Agent using Amazon Bedrock, capable of customize to create/edit files, execute commands, search the web, use knowledge base, use multi-agents, generative images and more.
Lightweight, In-memory, Semantic Search, Text Vector Database to embed in any .NET Application
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
The open source platform for AI-native application development.
NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Data from GitHub · snapshot Nov 13, 2026