Popular GitHub Repositories for Titan

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

Generative AI Application Builder on AWS facilitates the development, rapid experimentation, and deployment of generative artificial intelligence (AI) applications without requiring deep experience in AI. The solution includes integrations with Amazon Bedrock and its included LLMs, such as Amazon Titan, and pre-built connectors for 3rd-party LLMs.

Complete example of how to build an Agentic RAG architecture with Redis, Amazon Bedrock, and LlamaIndex.

Lightweight graph database with relational and vector support built using Sqlite, designed to power knowledge and artificial intelligence persistence and retrieval.

YAWNING TITAN is an abstract, graph based cyber-security simulation environment that supports the training of intelligent agents for autonomous cyber operations.

Easy "1-line" calling of all LLMs from OpenAI, MS Azure, AWS Bedrock, GCP Vertex, and Ollama

'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker

This repository demonstrates the construction of a state-of-the-art multimodal search engine, leveraging Amazon Titan Embeddings, Amazon Bedrock, and LangChain.

E コマースにおける生成AI 4大ユースケースに関する Amazon Bedrock デモ

This repository contains Node.js examples to get started with the Amazon Bedrock service.

Seamless Integration with Amazon Bedrock for AI-Powered Text and Image Generation in Ruby.

Gemini/Spartan Protocol Browser

Automate process to change image background using Amazon Bedrock and AWS Step Functions

AWS AI ChatBot streaming demo implementation using NodeJS, AWS Bedrock, Lambda and DocumentDB

pwshBedrock is a PowerShell module designed to simplify interaction with Amazon Bedrock foundation models. It enables users to send messages, retrieve responses, manage conversation contexts, generate images, and estimate costs. Supporting both InvokeModel and Converse API, it streamlines AI integration in PowerShell workflows.

Winner (Titan Xp as awards), 2019 Just Model It Event: freely making a model on dgx system and backend.ai

Implementation of a question-answering system utilizing Large Language Models (LLMs) like Llama, Stable AI, and Amazon Titan via AWS Bedrock, Retrieval-Augmented Generation (RAG) techniques, and vector database

Titan 'O' is a web-based platform that lets you run Ollama AI models offline on your local machine.

This project offers a sample multimodal front-end application built with Streamlit to showcase Amazon Bedrock.

A Document QA chatbot using LangChain, Pinecone for vector storage, and Amazon Bedrock (mistral.mixtral-8x7b-instruct for LLM and titan-embed-text for embeddings). Built with a Streamlit frontend for document uploads and contextual question answering.