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Save erkobridee/6c145edadde3a6a329cd44198ea32ee1 to your computer and use it in GitHub Desktop.
Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.
It's been used to automate everything that's possible.
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n8n Advanced AI - Give your team superpowers with AI tools like chatbots and assistants using any LLM, and create automated workflows across your stack with 400+ integrations
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[GitHub] n8n-io/self-hosted-ai-starter-kit - The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.
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A Comprehensive Guide to AI Workflow Automation in 2024 | n8n Blog
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[YoutTube] How To Make Custom Tools in n8n to Automate ANYTHING with AI
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[YouTube] Create 100% Local No Code AI Agents with N8N and Ollama in 10 mins
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[YouTube] No Code RAG Agents? You HAVE to Check out n8n + LangChain | Cole Medin
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[YouTube] Run ALL Your AI Locally in Minutes (LLMs, RAG, and more)
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[YouTube] When to use AI Agent vs Chain Node in n8n (Live Demo - NO CODE)
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[YouTube] The ULTIMATE Local AI Setup: LLMs, Qdrant, n8n (NO CODE!!)
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[YouTube] How to Run Llama 3.1 Locally on your Computer with Ollama and n8n (Step-by-Step Tutorial)
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[YouTube] n8n AI Agents Masterclass | Complete guide to all AI nodes in N8N
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[YouTube] 10 n8n Tips in 10 Minutes to 10x Your AI Automations
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[GitHub] n8n-io/n8n-hosting - Example of self-hosting n8n in various environments like docker, kubernetes, etc.
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Hosting n8n: Exploring Self-Hosting Options and The Benefits of AWS
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Deploy n8n on Render - Streamline Workflow Automation with Docker Efficiency and Secure Networking. Deploy n8n on Render to harness powerful workflow automation with an open-source, self-hosted tool that gives you full control. Enjoy seamless integration with 200+ nodes, support for databases like PostgreSQL and MySQL, and a built-in tunnel for web accessibility. Unlock versatile automation easily with Render's reliable cloud platform.
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[YouTube] The EASIEST Way to Self Host n8n in the Cloud | n8n Tutorial
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[YouTube] How to self-host N8N in the cloud for FREE for UNLIMITED automations
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[YouTube] #n8n Up and Running for FREE in 2024 - Full Setup Walkthrough
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[YouTube] How to Build A No-Code AI Agent in N8N that can replace your employees
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🇧🇷 [YouTube] Crie este Micro-Saas em 1 Hora com N8N + IA (neste nicho lucrativo)
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[YouTube] I Built an AI Agent That Does EVERYTHING for You! (100% Automated)
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[YouTube] Build a FULL Stack App for your n8n AI Agent in 20 Minutes
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[YouTube] This RAG AI Agent with n8n + Supabase is the Real Deal
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[YouTube] Effortless RAG in n8n - Use ALL Your Files (PDFs, Excel, and More)
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[YouTube] Chat with your Documents - n8n & OpenAI Tutorial | Dona AI
It's the "Docker" of LLMs ( similar idea but to run LLMs instead of containers )
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Ollama - Get up and running with large language models.
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[GitHub] ollama/ollama - Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.
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[YouTube] EASIEST Way to Fine-Tune a LLM and Use It With Ollama
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Build Your Own AI-driven Code Analysis Chatbot for Developers with the GenAI Stack | Docker
- [GitHub] dockersamples/CodeExplorer - This app allows you to ask questions and get answers regarding your code provided the folder location of your code.
- Hugging Face – The AI community building the future. We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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[GitHub] QwenLM/Qwen2.5-Coder - Qwen2.5-Coder is the code version of Qwen2.5, the large language model series developed by Qwen team, Alibaba Cloud.
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Code Llama: Open Foundation Models for Code | Research - AI at Meta
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[GitHub] meta-llama/codellama - Inference code for CodeLlama models
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codellama | Ollama Model - A large language model that can use text prompts to generate and discuss code.
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LangChain - suite of products supports developers along each step of their development journey.
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[GitHub] langchain-ai/langgraph - Build resilient language agents as graphs.
- [GitHub] ai-collection/ai-collection - The Generative AI Landscape - A Collection of Awesome Generative AI Applications
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Napkin AI - The visual AI for business storytelling. Napkin turns your text into visuals so sharing your ideas is quick and effective..
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MyLens - Simplify, Summarize, and Visualize Anything with AI.
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[GitHub] fraserxu/diagram-gpt - Draw flowchart, sequence diagram, class diagram, user journey, gantt, C4C diagram with nature language.
- [GitHub] Mintplex-Labs/anything-llm - The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
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Codeium - Free AI Code Completion & Chat
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[GitHub] continuedev/continue - ⏩ Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains
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An entirely open-source AI code assistant inside your editor | Ollama Blog
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Cody - AI coding assistant. Cody uses the latest LLMs and all your development context to help you understand, write, and fix code faster.
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[GitHub] sourcegraph/cody - Type less, code more: Cody is an AI code assistant that uses advanced search and codebase context to help you write and fix code.
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Aider - is AI pair programming in your terminal
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Qodo (formerly Codium) - Quality-first AI Coding Platform
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AppMap - AppMap Navie coding assistance and application behavior visualizaton powered by runtime insights.
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Auto-magically generate sequence diagrams of your code's runtime behavior | AppMap - DEV Community
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AppMap Navie - it's possible to use custom AI background, like using one LLM running on top of Ollama
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[GitHub] getappmap/appmap-node - AppMap client agent for Node.js
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[GitHub] getappmap/appmap-js - Client libraries for AppMap
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[GitHub] vanna-ai/vanna - 🤖 Chat with your SQL database 📊. Accurate Text-to-SQL Generation via LLMs using RAG 🔄.
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[GitHub] rsaryev/talk-codebase - Tool for chatting with your codebase and docs using OpenAI, LlamaCpp, and GPT-4-All
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[GitHub] Storia-AI/sage - Chat with any codebase in under two minutes | Fully local or via third-party APIs
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Cursor - The AI Code Editor
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bolt.new - Prompt, run, edit, and deploy full-stack web apps.
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Perplexity - is a free AI-powered answer engine that provides accurate, trusted, and real-time answers to any question.
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Google NotebookML - Use the power of AI for quick summarization and note taking, NotebookLM is your powerful virtual research assistant rooted in information you can trust.
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Pinecone - The vector database to build knowledgeable AI
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Qdrant - Vector Database
- [GitHub] qdrant/qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI
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Chroma - is the open-source AI application database. Batteries included
- [GitHub] chroma-core/chroma - the AI-native open-source embedding database
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[GitHub] pgvector/pgvector - is a PostgreSQL extension for vector similarity search. It can also be used for storing embeddings.
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Deep Lake - retains all the features you love from data lakes and need from vector databases. As a result, Deep Lake is explicitly built to store any data (pdfs, vectors, audio, videos, etc.) for AI, works where you do, and allows you not only connect your data to Large Language Models, but also train and fine-tune them using our best-in-class dataloader for AI frameworks
- [GitHub] activeloopai/deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow.
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LanceDB - is an open-source vector database for AI that's designed to store, manage, query and retrieve embeddings on large-scale multi-modal data. The core of LanceDB is written in Rust 🦀 and is built on top of Lance, an open-source columnar data format designed for performant ML workloads and fast random access.
- [GitHub] lancedb/lancedb - Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
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AI
- Artificial Intelligence
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AI Agent
- is an autonomous system that receives data, makes rational decisions, and acts within its environment to achieve specific goals.-
AI Agents: From Theory to Practice (+Free Templates) | n8n Blog
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[YouTube Playlist] AI Agents Masterclass
- [GitHub] coleam00/ai-agents-masterclass - Follow along with my AI Agents Masterclass videos! All of the code I create and use in this series on YouTube will be here for you to use and even build on top of!
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LLM
- Large Language Model -
RAG
- Retrieval-Augmented Generation -
Embedding
- is a means of representing objects like text, images and audio as points in a continuous vector space where the locations of those points in space are semantically meaningful to machine learning (ML) algorithms.
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Vector Database
- A vector database is a specialized type of database designed to store and manage data in the form of vectors, which are numerical representations (or embeddings) of various data objects. This structure allows for efficient indexing and searching, particularly suited for handling unstructured and semi-structured data such as images, text, and audio. Unlike traditional databases that organize data in rows and columns, vector databases leverage high-dimensional spaces to facilitate similarity searches based on distance metrics rather than exact matches.