AI Agent Skills

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) us…

Machine Learning University: Accelerated Natural Language Processing Class

A library for training and deploying machine learning models on Amazon SageMaker

Application implementation with business use cases for safely utilizing generative AI in business operations

Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications witho…

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

Deploy serverless AI workflows at scale. Firebase for AI agents

Tensorlake is a serverless runtime for sandboxes and deploying background agentic applications