The ai-woocommerce tool facilitates the migration of data from a WooCommerce database to an Aimeos ecommerce installation. It requires Wordpress with WooCommerce and Aimeos 2023.10+. Users can install the ai-woocommerce package using composer and configure the migration process by setting up the database connections. The tool migrates products, categories, suppliers/brands, attributes, and extra product options from WooCommerce to Aimeos, streamlining the transition process for e-commerce websites.

Laravel AI Translator is a powerful tool designed to streamline the localization process in Laravel projects. It automates the task of translating strings across multiple languages using advanced AI models like GPT-4 and Claude. The tool supports custom language styles, preserves variables and nested structures, and ensures consistent tone and style across translations. It integrates seamlessly with Laravel projects, making internationalization easier and more efficient. Users can customize translation rules, handle large language files efficiently, and validate translations for accuracy. The tool offers contextual understanding, linguistic precision, variable handling, smart length adaptation, and tone consistency for intelligent translations.

pg_vectorize is a Postgres extension that automates text to embeddings transformation, enabling vector search and LLM applications with minimal function calls. It integrates with popular LLMs, provides workflows for vector search and RAG, and automates Postgres triggers for updating embeddings. The tool is part of the VectorDB Stack on Tembo Cloud, offering high-level APIs for easy initialization and search.

Laravel Crod is a package designed to facilitate the implementation of CRUD operations in Laravel projects. It allows users to quickly generate controllers, models, migrations, services, repositories, views, and requests with various customization options. The package simplifies tasks such as creating resource controllers, making models fillable, querying repositories and services, and generating additional files like seeders and factories. Laravel Crod aims to streamline the process of building CRUD functionalities in Laravel applications by providing a set of commands and tools for developers.

This repository contains custom Evilginx phishlets that are meticulously crafted and updated for real-world applications. It also offers an advanced course, EvilGoPhish Mastery, focusing on phishing and smishing techniques using EvilGoPhish 3.0. The course complements the repository by providing in-depth guidance on deploying these scripts for red team phishing and smishing campaigns.

Dexter is a set of mature LLM tools used in production at Dexa, with a focus on real-world RAG (Retrieval Augmented Generation). It is a production-quality RAG that is extremely fast and minimal, and handles caching, throttling, and batching for ingesting large datasets. It also supports optional hybrid search with SPLADE embeddings, and is a minimal TS package with full typing that uses `fetch` everywhere and supports Node.js 18+, Deno, Cloudflare Workers, Vercel edge functions, etc. Dexter has full docs and includes examples for basic usage, caching, Redis caching, AI function, AI runner, and chatbot.

Airbadge is a Stripe addon for Auth.js that provides an easy way to create a SaaS site without writing any authentication or payment code. It integrates Stripe Checkout into the signup flow, offers over 50 OAuth options for authentication, allows route and UI restriction based on subscription, enables self-service account management, handles all Stripe webhooks, supports trials and free plans, includes subscription and plan data in the session, and is open source with a BSL license. The project also provides components for conditional UI display based on subscription status and helper functions to restrict route access. Additionally, it offers a billing endpoint with various routes for billing operations. Setup involves installing @airbadge/sveltekit, setting up a database provider for Auth.js, adding environment variables, configuring authentication and billing options, and forwarding Stripe events to localhost.

HippoRAG is a novel retrieval augmented generation (RAG) framework inspired by the neurobiology of human long-term memory that enables Large Language Models (LLMs) to continuously integrate knowledge across external documents. It provides RAG systems with capabilities that usually require a costly and high-latency iterative LLM pipeline for only a fraction of the computational cost. The tool facilitates setting up retrieval corpus, indexing, and retrieval processes for LLMs, offering flexibility in choosing different online LLM APIs or offline LLM deployments through LangChain integration. Users can run retrieval on pre-defined queries or integrate directly with the HippoRAG API. The tool also supports reproducibility of experiments and provides data, baselines, and hyperparameter tuning scripts for research purposes.

ActionWeaver is an AI application framework designed for simplicity, relying on OpenAI and Pydantic. It supports both OpenAI API and Azure OpenAI service. The framework allows for function calling as a core feature, extensibility to integrate any Python code, function orchestration for building complex call hierarchies, and telemetry and observability integration. Users can easily install ActionWeaver using pip and leverage its capabilities to create, invoke, and orchestrate actions with the language model. The framework also provides structured extraction using Pydantic models and allows for exception handling customization. Contributions to the project are welcome, and users are encouraged to cite ActionWeaver if found useful.

Extractor is an AI-powered data extraction library for Laravel that leverages OpenAI's capabilities to effortlessly extract structured data from various sources, including images, PDFs, and emails. It features a convenient wrapper around OpenAI Chat and Completion endpoints, supports multiple input formats, includes a flexible Field Extractor for arbitrary data extraction, and integrates with Textract for OCR functionality. Extractor utilizes JSON Mode from the latest GPT-3.5 and GPT-4 models, providing accurate and efficient data extraction.

This plugin extends and creates `a`/`i` textobjects in Neovim. It enhances some builtin textobjects (like `a(`, `a)`, `a'`, and more), creates new ones (like `a*`, `a`, `af`, `a?`, and more), and allows the user to create their own (like based on treesitter, and more). It supports dot-repeat, `v:count`, different search methods, consecutive application, and customization via Lua patterns or functions. It has builtins for brackets, quotes, function call, argument, tag, user prompt, and any punctuation/digit/whitespace character.

Language Models is a Python package that provides building blocks to explore large language models with as little as 512MB of RAM. It simplifies the usage of large language models from Python, ensuring all inference is performed locally to keep data private. The package includes features such as text completions, chat capabilities, code completions, external text retrieval, semantic search, and more. It outperforms Hugging Face transformers for CPU inference and offers sensible default models with varying parameters based on memory constraints. The package is suitable for learners and educators exploring the intersection of large language models with modern software development.

Run Vercel AI package on React Native, Expo, Web and Universal apps. Currently React Native fetch API does not support streaming which is used as a default on Vercel AI. This package enables you to use AI library on React Native but the best usage is when used on Expo universal native apps. On mobile you get back responses without streaming with the same API of `useChat` and `useCompletion` and on web it will fallback to `ai/react`

PandasAI is a Python library that makes it easy to ask questions to your data in natural language. It helps you to explore, clean, and analyze your data using generative AI.

Aire is a modern Laravel form builder with a focus on expressive and beautiful code. It allows easy configuration of form components using fluent method calls or Blade components. Aire supports customization through config files and custom views, data binding with Eloquent models or arrays, method spoofing, CSRF token injection, server-side and client-side validation, and translations. It is designed to run on Laravel 5.8.28 and higher, with support for PHP 7.1 and higher. Aire is actively maintained and under consideration for additional features like read-only plain text, cross-browser support for custom checkboxes and radio buttons, support for Choices.js or similar libraries, improved file input handling, and better support for content prepending or appending to inputs.

OASIS is a scalable, open-source social media simulator that integrates large language models with rule-based agents to realistically mimic the behavior of up to one million users on platforms like Twitter and Reddit. It facilitates the study of complex social phenomena such as information spread, group polarization, and herd behavior, offering a versatile tool for exploring diverse social dynamics and user interactions in digital environments. With features like scalability, dynamic environments, diverse action spaces, and integrated recommendation systems, OASIS provides a comprehensive platform for simulating social media interactions at a large scale.

The Terraform provider for Aiven.io, an open source data platform as a service. See the official documentation to learn about all the possible services and resources.

Buildware is a tool designed to help developers accelerate their code shipping process by leveraging AI technology. Users can build a code instruction system, submit an issue, and receive an AI-generated pull request. The tool is created by Mckay Wrigley and Tyler Bruno at Takeoff AI. Buildware offers a simple setup process involving cloning the repository, installing dependencies, setting up environment variables, configuring a database, and obtaining a GitHub Personal Access Token (PAT). The tool is currently being updated to include advanced features such as Linear integration, local codebase mode, and team support.

This is a vulnerability mining engine purely based on GPT, requiring no prior knowledge base, no fine-tuning, yet its effectiveness can overwhelmingly surpass most of the current related research. The core idea revolves around being task-driven, not question-driven, driven by prompts, not by code, and focused on prompt design, not model design. The essence is encapsulated in one word: deception. It is a type of code understanding logic vulnerability mining that fully stimulates the capabilities of GPT, suitable for real actual projects.

The ai-woocommerce tool facilitates the migration of data from a WooCommerce database to an Aimeos ecommerce installation. It requires Wordpress with WooCommerce and Aimeos 2023.10+. Users can install the ai-woocommerce package using composer and configure the migration process by setting up the database connections. The tool migrates products, categories, suppliers/brands, attributes, and extra product options from WooCommerce to Aimeos, streamlining the transition process for e-commerce websites.

The ai-woocommerce tool facilitates the migration of data from a WooCommerce database to an Aimeos ecommerce installation. It requires Wordpress with WooCommerce and Aimeos 2023.10+. Users can install the ai-woocommerce package using composer and configure the migration process by setting up the database connections. The tool migrates products, categories, suppliers/brands, attributes, and extra product options from WooCommerce to Aimeos, streamlining the transition process for e-commerce websites.

DB2Rest is a modern low-code REST DATA API platform that simplifies the development of intelligent applications. It seamlessly integrates existing and new databases with language models (LMs/LLMs) and vector stores, enabling the rapid delivery of context-aware, reasoning applications without vendor lock-in.

TiDB is an open-source distributed SQL database that supports Hybrid Transactional and Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.

Infinity is an AI-native database designed for LLM applications, providing incredibly fast full-text and vector search capabilities. It supports a wide range of data types, including vectors, full-text, and structured data, and offers a fused search feature that combines multiple embeddings and full text. Infinity is easy to use, with an intuitive Python API and a single-binary architecture that simplifies deployment. It achieves high performance, with 0.1 milliseconds query latency on million-scale vector datasets and up to 15K QPS.

PostgresML is a powerful Postgres extension that seamlessly combines data storage and machine learning inference within your database. It enables running machine learning and AI operations directly within PostgreSQL, leveraging GPU acceleration for faster computations, integrating state-of-the-art large language models, providing built-in functions for text processing, enabling efficient similarity search, offering diverse ML algorithms, ensuring high performance, scalability, and security, supporting a wide range of NLP tasks, and seamlessly integrating with existing PostgreSQL tools and client libraries.

LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrieval, filtering, and management of embeddings. The key features of LanceDB include: Production-scale vector search with no servers to manage. Store, query, and filter vectors, metadata, and multi-modal data (text, images, videos, point clouds, and more). Support for vector similarity search, full-text search, and SQL. Native Python and Javascript/Typescript support. Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure. GPU support in building vector index(*). Ecosystem integrations with LangChain 🦜️🔗, LlamaIndex 🦙, Apache-Arrow, Pandas, Polars, DuckDB, and more on the way. LanceDB's core is written in Rust 🦀 and is built using Lance, an open-source columnar format designed for performant ML workloads.

Nucleoid is a declarative (logic) runtime environment that manages both data and logic under the same runtime. It uses a declarative programming paradigm, which allows developers to focus on the business logic of the application, while the runtime manages the technical details. This allows for faster development and reduces the amount of code that needs to be written. Additionally, the sharding feature can help to distribute the load across multiple instances, which can further improve the performance of the system.

DB-GPT is an open source AI native data app development framework with AWEL(Agentic Workflow Expression Language) and agents. It aims to build infrastructure in the field of large models, through the development of multiple technical capabilities such as multi-model management (SMMF), Text2SQL effect optimization, RAG framework and optimization, Multi-Agents framework collaboration, AWEL (agent workflow orchestration), etc. Which makes large model applications with data simpler and more convenient.