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Source channel @githubtrending · Post #15433 · Jan 23

#python#deepseek#demo#easy#embedding#flask#gpt#huggingface_transformers#llm#mcp#multimodal#openai#qwen#rag#sentence_transformers#ui#vllm#vlm UltraRAG is a lightweight framework that makes building retrieval-augmented generation (RAG) systems simple and fast. It uses a low-code approach where you write just dozens of lines of YAML configuration instead of complex code to create sophisticated AI workflows with conditional logic and loops. The framework includes a visual development environment where you can drag-and-drop to build pipelines, adjust parameters in real-time, and instantly convert your logic into interactive chat applications. This means you can deploy powerful AI systems that ground answers in your own data—reducing hallucinations and improving accuracy—without needing extensive coding expertise or lengthy development cycles. https://github.com/OpenBMB/UltraRAG

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#python #deepseek #demo #easy #embedding #flask #gpt #huggingface_transformers #llm #mcp #multimodal #openai #qwen #rag #sentence_transformers #ui #vllm #vlm

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GitHub Trends

@githubtrending · Post #14935 · 07/09/2025, 01:30 PM

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#other#clients#mcp The Model Context Protocol (MCP) is an open standard that lets AI models easily and securely connect to different data sources and tools, making it much simpler for developers to build smart apps that can access files, databases, and APIs without custom code for each one[2][3][4]. There are many free and easy-to-use MCP clients—like desktop apps, web apps, and command-line tools—that let you quickly add new AI features and automate tasks, so you can get more done with less effort and technical hassle. This means you can use AI to help with coding, data analysis, and daily work, all while keeping your data safe and your setup flexible[2][3][4]. https://github.com/punkpeye/awesome-mcp-clients

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#other #clients #mcp

djangoproject

@djangoproject · Post #109 · 08/03/2016, 11:20 AM

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https://github.com/sourcesimian/pyTelegramBotAPI An implementation of the #Telegram#Bot#API messages and some simple #clients. Used by: txTelegramBot - An easily customisable bot written in Twisted Python3.

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#telegram #bot #api #clients

djangoproject

@djangoproject · Post #327 · 04/30/2017, 01:28 AM

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https://www.tutorialspoint.com/python/python_networking.htm Python provides two levels of access to network services. At a low level, you can access the basic #socket support in the underlying operating system, which allows you to implement #clients and #servers for both connection-oriented and connectionless protocols.

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#socket #clients #servers

Upwork Profile Mastery

@UpworkProfilePro · Post #568 · 02/19/2026, 09:52 AM

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Most freelancers fail before they even start… because they skip this one step! They rush into work without truly understanding the client’s needs. Knowing their goals helps you deliver exactly what they expect. Good communication builds trust and long-term relationships. 👉 What do you think? React if you agree. @UpworkProfilePro #Tipsoftheday#Clients#communication

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#tipsoftheday #clients #communication