🤖 Telegram Ollama Integration.

Discord bot for MVRLY discord server with AI based on bun/discord.js/ollama

Dify in ComfyUI includes Omost,GPT-sovits, ChatTTS,GOT-OCR2.0, and FLUX prompt nodes,access to Feishu,discord,and adapts to all llms with similar openai/gemini interfaces, such as o1,ollama, qwen, GLM, deepseek, moonshot,doubao. Adapted to local llms, vlm, gguf such as llama-3.2, Linkage neo4j KG, graphRAG / RAG / html 2 img

🚀 基于大语言模型和 RAG 的知识库问答系统。开箱即用、模型中立、灵活编排，支持快速嵌入到第三方业务系统。

Private & local AI personal knowledge management app.

A programming framework for knowledge management

Ollama client for Kotlin Multiplatform

My custom n8n stack using various AIML technologies and third party integrations for automated agents

Effortlessly run LLM backends, APIs, frontends, and services with one command.

批量为视频或者音频生成字幕，并可批量将字幕翻译成其它语言。这是一个客户端工具, 跨平台支持 mac 和 windows 系统, 支持百度，火山，deeplx, openai, deepseek, ollama 等多个翻译服务

Nino is a CLI tool that interacts with local language models via Ollama's serve mode, enabling real-time responses and easy output saving directly from the terminal.

Craft fortunes using Gemma2 (2B)

This project implements a chat (Vue) that allows to ask questions through OpenAI (python lib) backend against a local Ollama installation

Chit is a lightweight privacy-focused web chat front-end for Ollama endpoints that uses no backend.

A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

Code execution utilities for Open WebUI & Ollama

Aora is an application designed to leverage AI for advanced document handling and natural language processing. This repository contains both backend and frontend components to get the application up and running.

This can be used for bulk data preparation, like generating large amounts of synthetic data, you can also assign a pre-prompt to be applied to all the files being analyzed. The idea is to help those who need to generate a bulk amount of data using file contents and a pre-prompt

Contextual Retrieval solves this problem by prepending chunk-specific explanatory context to each chunk before embedding (“Contextual Embeddings”) and creating the BM25 index (“Contextual BM25”).

This repo contain guide for setting up ChatGPT locally using Docker and OpenWebUI, NVIDIA GPUs in WSL 2 on Ubuntu