Chroma is an open-source embedding database that simplifies building LLM apps by enabling the integration of knowledge, facts, and skills for LLMs. The Ruby client for Chroma Database, chroma-rb, facilitates connecting to Chroma's database via its API. Users can configure the host, check server version, create collections, and add embeddings. The gem supports Chroma Database version 0.3.22 or newer, requiring Ruby 3.1.4 or later. It can be used with the hosted Chroma service at trychroma.com by setting configuration options like api_key, tenant, and database. Additionally, the gem provides integration with Jupyter Notebook for creating embeddings using Ollama and Nomic embed text with a Ruby HTTP client.

RayLLM (formerly known as Aviary) is an LLM serving solution that makes it easy to deploy and manage a variety of open source LLMs, built on Ray Serve. It provides an extensive suite of pre-configured open source LLMs, with defaults that work out of the box. RayLLM supports Transformer models hosted on Hugging Face Hub or present on local disk. It simplifies the deployment of multiple LLMs, the addition of new LLMs, and offers unique autoscaling support, including scale-to-zero. RayLLM fully supports multi-GPU & multi-node model deployments and offers high performance features like continuous batching, quantization and streaming. It provides a REST API that is similar to OpenAI's to make it easy to migrate and cross test them. RayLLM supports multiple LLM backends out of the box, including vLLM and TensorRT-LLM.

Aisuite is a simple, unified interface to multiple Generative AI providers. It allows developers to easily interact with various Language Model (LLM) providers like OpenAI, Anthropic, Azure, Google, AWS, and more through a standardized interface. The library focuses on chat completions and provides a thin wrapper around python client libraries, enabling creators to test responses from different LLM providers without changing their code. Aisuite maximizes stability by using HTTP endpoints or SDKs for making calls to the providers. Users can install the base package or specific provider packages, set up API keys, and utilize the library to generate chat completion responses from different models.

AIAC is a library and command line tool to generate Infrastructure as Code (IaC) templates, configurations, utilities, queries, and more via LLM providers such as OpenAI, Amazon Bedrock, and Ollama. Users can define multiple 'backends' targeting different LLM providers and environments using a simple configuration file. The tool allows users to ask a model to generate templates for different scenarios and composes an appropriate request to the selected provider, storing the resulting code to a file and/or printing it to standard output.

Dravid (DRD) is an advanced, AI-powered CLI coding framework designed to follow user instructions until the job is completed, including fixing errors. It can generate code, fix errors, handle image queries, manage file operations, integrate with external APIs, and provide a development server with error handling. Dravid is extensible and requires Python 3.7+ and CLAUDE_API_KEY. Users can interact with Dravid through CLI commands for various tasks like creating projects, asking questions, generating content, handling metadata, and file-specific queries. It supports use cases like Next.js project development, working with existing projects, exploring new languages, Ruby on Rails project development, and Python project development. Dravid's project structure includes directories for source code, CLI modules, API interaction, utility functions, AI prompt templates, metadata management, and tests. Contributions are welcome, and development setup involves cloning the repository, installing dependencies with Poetry, setting up environment variables, and using Dravid for project enhancements.

LlamaBot is a Pythonic bot interface to Large Language Models (LLMs), providing an easy way to experiment with LLMs in Jupyter notebooks and build Python apps utilizing LLMs. It supports all models available in LiteLLM. Users can access LLMs either through local models with Ollama or by using API providers like OpenAI and Mistral. LlamaBot offers different bot interfaces like SimpleBot, ChatBot, QueryBot, and ImageBot for various tasks such as rephrasing text, maintaining chat history, querying documents, and generating images. The tool also includes CLI demos showcasing its capabilities and supports contributions for new features and bug reports from the community.

This repository contains the official Neo4j GenAI features for Python. The purpose of this package is to provide a first-party package to developers, where Neo4j can guarantee long-term commitment and maintenance as well as being fast to ship new features and high-performing patterns and methods.

llamafile is a tool that enables users to distribute and run Large Language Models (LLMs) with a single file. It combines llama.cpp with Cosmopolitan Libc to create a framework that simplifies the complexity of LLMs into a single-file executable called a 'llamafile'. Users can run these executable files locally on most computers without the need for installation, making open LLMs more accessible to developers and end users. llamafile also provides example llamafiles for various LLM models, allowing users to try out different LLMs locally. The tool supports multiple CPU microarchitectures, CPU architectures, and operating systems, making it versatile and easy to use.

OllamaKit is a Swift library designed to simplify interactions with the Ollama API. It handles network communication and data processing, offering an efficient interface for Swift applications to communicate with the Ollama API. The library is optimized for use within Ollamac, a macOS app for interacting with Ollama models.

Mojo is a new programming language that bridges the gap between research and production by combining Python syntax and ecosystem with systems programming and metaprogramming features. Mojo is still young, but it is designed to become a superset of Python over time.

This project enables users to create story videos by inputting a story theme, utilizing a large language model to generate AI-generated images, story content, audio, and subtitles. The backend is built with Python and FastAPI, while the frontend utilizes React, Ant Design, and Vite.

AI Component Generator with ChatGPT is a project that utilizes OpenAI's ChatGPT and Vercel Edge functions to generate various UI components based on user input. It allows users to export components in HTML format or choose combinations of Tailwind CSS, Next.js, React.js, or Material UI. The tool can be used to quickly bootstrap projects and create custom UI components. Users can run the project locally with Next.js and TailwindCSS, and customize ChatGPT prompts to generate specific components or code snippets. The project is open for contributions and aims to simplify the process of creating UI components with AI assistance.

MusicGPT is an application that allows running the latest music generation AI models locally in a performant way, supporting different music generation models transparently to the user. It can be interacted with through UI mode or CLI mode, generating music based on natural language prompts. The tool requires access to storage to save downloaded models and generated audios along with metadata. It is licensed under MIT License for the code and CC-BY-NC-4.0 License for the AI model weights.

CurateGPT is a prototype web application and framework designed for general purpose AI-guided curation and curation-related operations over collections of objects. It provides functionalities for loading example data, building indexes, interacting with knowledge bases, and performing tasks such as chatting with a knowledge base, querying Pubmed, interacting with a GitHub issue tracker, term autocompletion, and all-by-all comparisons. The tool is built to work best with the OpenAI gpt-4 model and OpenAI ada-text-embedding-002 for embedding, but also supports alternative models through a plugin architecture.

Mojo is a new programming language that combines Python syntax and ecosystem with systems programming and metaprogramming features. It aims to bridge the gap between research and production, designed to be the best way to extend Python over time. The repository includes source code for Mojo examples, documentation hosted at modular.com, and the Mojo standard library. It has two primary branches: 'main' for stable released versions and 'nightly' for the latest builds. To install Mojo, follow the guide for the last released build or use the nightly builds for a view of the development progress. Contributions are welcome on the 'nightly' branch, and the repository is licensed under the Apache License v2.0 with LLVM Exceptions.

FastTrackML is an experiment tracking server focused on speed and scalability, fully compatible with MLFlow. It provides a user-friendly interface to track and visualize your machine learning experiments, making it easy to compare different models and identify the best performing ones. FastTrackML is open source and can be easily installed and run with pip or Docker. It is also compatible with the MLFlow Python package, making it easy to integrate with your existing MLFlow workflows.

Chroma is an open-source embedding database that simplifies building LLM apps by enabling the integration of knowledge, facts, and skills for LLMs. The Ruby client for Chroma Database, chroma-rb, facilitates connecting to Chroma's database via its API. Users can configure the host, check server version, create collections, and add embeddings. The gem supports Chroma Database version 0.3.22 or newer, requiring Ruby 3.1.4 or later. It can be used with the hosted Chroma service at trychroma.com by setting configuration options like api_key, tenant, and database. Additionally, the gem provides integration with Jupyter Notebook for creating embeddings using Ollama and Nomic embed text with a Ruby HTTP client.

Gemini Pro Vision Playground is a simple project aimed at assisting developers in utilizing the Gemini Pro Vision and Gemini Pro AI models for building applications. It provides a playground environment for experimenting with these models and integrating them into apps. The project includes instructions for setting up the Google AI API key and running the development server to visualize the results. Developers can learn more about the Gemini API documentation and Next.js framework through the provided resources. The project encourages contributions and feedback from the community.

Shards is a high-performance, multi-platform, type-safe programming language designed for visual development. It is a dataflow visual programming language that enables building full-fledged apps and games without traditional coding. Shards features automatic type checking, optimized shard implementations for high performance, and an intuitive visual workflow for beginners. The language allows seamless round-trip engineering between code and visual models, empowering users to create multi-platform apps easily. Shards also powers an upcoming AI-powered game creation system, enabling real-time collaboration and game development in a low to no-code environment.

Eidos is an extensible framework for managing personal data in one place. It runs inside the browser as a PWA with offline support. It integrates AI features for translation, summarization, and data interaction. Users can customize Eidos with Prompt extension, JavaScript for Formula functions, TypeScript/JavaScript for data processing logic, and build apps using any framework. Eidos is developer-friendly with API & SDK, and uses SQLite standardization for data tables.

This repository serves as a companion to the Build AI-Powered Apps with OpenAI and Node.js course on Frontend Masters. It includes course notes and provides alternative approaches for deprecated Langchain methods by installing the Langchain community module and importing loaders for document processing from PDFs and YouTube videos.

NeoHaskell is a newcomer-friendly and productive dialect of Haskell. It aims to be easy to learn and use, while also powerful enough for app development with minimal effort and maximum confidence. The project prioritizes design and documentation before implementation, with ongoing work on design documents for community sharing.

BlackFriday-GPTs-Prompts is a repository that provides a collection of prompts and jailbreaks for various purposes such as programming, marketing, academic, job hunting, game, creative tasks, prompt engineering, business, productivity, and lifestyle. It introduces AiDark.net, an autonomous AI software engineer named Devin, capable of working collaboratively or independently on tasks for review. The repository offers prompts that can be used in GPTOS, along with demo videos showcasing an Android self-coding app builder.

AIDE-Plus is a comprehensive tool for Android app development, offering support for various Java syntax versions, Gradle and Maven build systems, ProGuard, AndroidX, CMake builds, APK/AAB generation, code coloring customization, data binding, and APK signing. It also provides features like AAPT2, D8, runtimeOnly, compileOnly, libgdxNatives, manifest merging, Shizuku installation support, and syntax auto-completion. The tool aims to streamline the development process and enhance the user experience by addressing common issues and providing advanced functionalities.

Weave is a toolkit for developing Generative AI applications, built by Weights & Biases. With Weave, you can log and debug language model inputs, outputs, and traces; build rigorous, apples-to-apples evaluations for language model use cases; and organize all the information generated across the LLM workflow, from experimentation to evaluations to production. Weave aims to bring rigor, best-practices, and composability to the inherently experimental process of developing Generative AI software, without introducing cognitive overhead.

LLMStack is a no-code platform for building generative AI agents, workflows, and chatbots. It allows users to connect their own data, internal tools, and GPT-powered models without any coding experience. LLMStack can be deployed to the cloud or on-premise and can be accessed via HTTP API or triggered from Slack or Discord.

The VisionCraft API is a free API for using over 100 different AI models. From images to sound.

Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

PyRIT is an open access automation framework designed to empower security professionals and ML engineers to red team foundation models and their applications. It automates AI Red Teaming tasks to allow operators to focus on more complicated and time-consuming tasks and can also identify security harms such as misuse (e.g., malware generation, jailbreaking), and privacy harms (e.g., identity theft). The goal is to allow researchers to have a baseline of how well their model and entire inference pipeline is doing against different harm categories and to be able to compare that baseline to future iterations of their model. This allows them to have empirical data on how well their model is doing today, and detect any degradation of performance based on future improvements.

Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot. It boasts several key features: * Self-contained, with no need for a DBMS or cloud service. * OpenAPI interface, easy to integrate with existing infrastructure (e.g Cloud IDE). * Supports consumer-grade GPUs.

SPEAR (Simulator for Photorealistic Embodied AI Research) is a powerful tool for training embodied agents. It features 300 unique virtual indoor environments with 2,566 unique rooms and 17,234 unique objects that can be manipulated individually. Each environment is designed by a professional artist and features detailed geometry, photorealistic materials, and a unique floor plan and object layout. SPEAR is implemented as Unreal Engine assets and provides an OpenAI Gym interface for interacting with the environments via Python.

Magick is a groundbreaking visual AIDE (Artificial Intelligence Development Environment) for no-code data pipelines and multimodal agents. Magick can connect to other services and comes with nodes and templates well-suited for intelligent agents, chatbots, complex reasoning systems and realistic characters.