openwebui-visual-retrieval

The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

Free, high-quality text-to-speech API endpoint to replace OpenAI, Azure, or ElevenLabs

Documentation on setting up an LLM server on Debian from scratch, using Ollama/vLLM, Open WebUI, OpenedAI Speech/Kokoro FastAPI, and ComfyUI.

Accelerated NLP pipelines for fast inference on CPU and GPU. Built with Transformers, Optimum and ONNX Runtime.

To simplify and streamline LLM operations, empowering developers and organizations to harness the full potential of large language models with ease.

Ollama Docker Compose Setup with WebUI and Remote Access via Cloudflare

This repository provides resources and guidelines to facilitate the integration of Open-WebUI and Langfuse, enabling seamless monitoring and management of AI model usage statistics.

Open-WebUI-Functions is a collection of custom pipelines, filters, and integrations designed to enhance Open WebUI. These functions enable seamless interactions with Azure AI, N8N, and other AI models, providing dynamic request handling, preprocessing, and automation.

使用open-webui中的pipelines技术在open-webui中调用ragflow的agent实现基于知识库的智能对话，并拥有美观的界面。

The Ollama Toolkit is a collection of powerful tools designed to enhance your experience with the Ollama project, an open-source framework for deploying and scaling machine learning models. Think of it as your one-stop shop for streamlining workflows and unlocking the full potential of Ollama!