Vertex AI
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case.
Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
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LM-Kit.NET
LM-Kit.NET is an enterprise-grade toolkit designed for seamlessly integrating generative AI into your .NET applications, fully supporting Windows, Linux, and macOS. Empower your C# and VB.NET projects with a flexible platform that simplifies the creation and orchestration of dynamic AI agents.
Leverage efficient Small Language Models for on‑device inference, reducing computational load, minimizing latency, and enhancing security by processing data locally. Experience the power of Retrieval‑Augmented Generation (RAG) to boost accuracy and relevance, while advanced AI agents simplify complex workflows and accelerate development.
Native SDKs ensure smooth integration and high performance across diverse platforms. With robust support for custom AI agent development and multi‑agent orchestration, LM‑Kit.NET streamlines prototyping, deployment, and scalability—enabling you to build smarter, faster, and more secure solutions trusted by professionals worldwide.
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Chainlit
Chainlit is a versatile open-source Python library that accelerates the creation of production-ready conversational AI solutions. By utilizing Chainlit, developers can swiftly design and implement chat interfaces in mere minutes rather than spending weeks on development. The platform seamlessly integrates with leading AI tools and frameworks such as OpenAI, LangChain, and LlamaIndex, facilitating diverse application development. Among its notable features, Chainlit supports multimodal functionalities, allowing users to handle images, PDFs, and various media formats to boost efficiency. Additionally, it includes strong authentication mechanisms compatible with providers like Okta, Azure AD, and Google, enhancing security measures. The Prompt Playground feature allows developers to refine prompts contextually, fine-tuning templates, variables, and LLM settings for superior outcomes. To ensure transparency and effective monitoring, Chainlit provides real-time insights into prompts, completions, and usage analytics, fostering reliable and efficient operations in the realm of language models. Overall, Chainlit significantly streamlines the process of building conversational AI applications, making it a valuable tool for developers in this rapidly evolving field.
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Open WebUI
Open WebUI is a robust, user-friendly, and customizable AI platform that is self-hosted and capable of functioning entirely without an internet connection. It is compatible with various LLM runners, such as Ollama, alongside APIs that align with OpenAI standards, and features an integrated inference engine that supports Retrieval Augmented Generation (RAG), positioning it as a formidable choice for AI deployment. Notable aspects include an easy installation process through Docker or Kubernetes, smooth integration with OpenAI-compatible APIs, detailed permissions, and user group management to bolster security, as well as a design that adapts well to different devices and comprehensive support for Markdown and LaTeX. Furthermore, Open WebUI presents a Progressive Web App (PWA) option for mobile usage, granting users offline access and an experience akin to native applications. The platform also incorporates a Model Builder, empowering users to develop tailored models from base Ollama models directly within the system. With a community of over 156,000 users, Open WebUI serves as a flexible and secure solution for the deployment and administration of AI models, making it an excellent choice for both individuals and organizations seeking offline capabilities. Its continuous updates and feature enhancements only add to its appeal in the ever-evolving landscape of AI technology.
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