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Automated Databricks Data Querying & SQL Insights via Slack with AI Agent & Gemini

💬 Chat with Your Finances on Telegram

Query GA4 data with Google Gemini AI in a Slack channel

Want to see it in action? Watch the full breakdown here: 📺 Video Link

Ask natural-language questions about your Monday.com tasks (e.g., “Which tasks are overdue?”, “Show me all items stuck”, “Summarize what’s due this week”).

This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

This n8n workflow is a fun way to query and search over your credentials on your n8n instance.

This workflow illustrates how to use Perplexity AI in your n8n workflow.

This Database SQL Query Agent convert natural language into sql query to get results

This guide shows you how to deploy a chatbot that lets you query your PostgreSQL database using natural language. You will build a system that accepts chat messages, retains conversation history, cons

Chat with a Slack channel using AI. This workflow fetches the channel’s message history and lets you ask natural-language questions (“what were the decisions?”, “who’s blocked?”, “summarize yesterday”

AI SQL Analytics Agent

💬 Chat with Your Trello Board (n8n + OpenAI)

📌 AI Agent Template with Bright Data MCP Tool Integration

QueryGPT-ADK is an open-source, multi-agent system for natural language to SQL query generation and explanation. It leverages LLMs and vector search to help users convert natural language questions in

This workflow serves a Question and Answer chat experience to an end user. It uses an AI Agent with a tool to fetch Question and Answer pairs stored in a Data Table (to serve the user answers grounded

How it works

Video Introduction

Automated QuickBooks New Customer Welcome Emails

Video Introduction

Video Introduction

Quickfire is an insurance AMS built for P&C teams, independent agencies, wholesalers, and brokers. It’s designed to seamlessly integrate third-party APIs, support customizable workflows, and provide a

an open-source framework that bridges the capabilities of Large Language Models (LLMs) with Decentralized Physical Infrastructure Networks (DePINs) to create advanced AI agents.

Build, deploy, and orchestrate event-driven agents natively on Apache Flink® and Apache Kafka®

Every email, right where you need it — synced to Notion

Generate YouTube shorts 10x faster with AI

AI quiz generator with unique questions and answers

AI study tools that adapt to how you learn

Recursive agent orchestration with multi-LLM consensus

Enable your organization with the infrastructure to capture and maintain quotes.

Open-source toolkit for the QVeris capability routing network: CLI, MCP server, Python SDK, skills, and REST API docs for agents to discover, inspect, call, and audit real-world tools.

A self-hosted AI agent built to drop into business workflows: customer ops, internal automation, knowledge retrieval, scheduled reporting. Deploys on a laptop, a workstation, or your own server — neve

AISecOps (AI Security Operations) framework for deterministic verification of AI systems. QWED verifies LLM outputs using math, logic, and symbolic execution — creating an auditable trust boundary fo

A comprehensive development toolkit plugin for LM Studio, specifically optimized for Qwen models with XML-style tool calling support and autonomous agent capabilities.

Qwen Qwen3 0.6B

Introduction

50X better prompt, 15X time saved, 10X clear response

Efforts toward giving Qwen 3 Coder 30B A3B proper agentic tool calling capabilities at or near 100% reliability.

The Boring query platform - Connect and query anything

Qworld: Question-Specific Evaluation Criteria for LLMs

Official implementation of the EMNLP 2023 paper "R2H: Building Multimodal Navigation Helpers that Respond to Help Requests"

Local RAG system with a built-in governance agent that filters sensitive or restricted information with separated agent logging systems to keep privacy and security

🐇 The 'RabbitHole' framework provides the tools for asynchronous A2A communication and task management. 📡🐇 ✨ Build powerful AI agents that communicate and collaborate.

The missing open source Kubernetes UI. Topology, event timeline, and service traffic — plus resource browsing and Helm management.

MCP server exposing Radarr as 34 tools for any MCP-compatible AI client (Claude Desktop, Claude Code, Cursor). Manage your movie library in natural language. Stdio + HTTP.

Expedite customer complaint resolution related to network service quality

radio jingle crewai

A powerful, enterprise-grade multi-agent system for advanced radiological analysis, diagnosis, and treatment planning. This system leverages specialized AI agents working in concert to provide compreh

多Agent驱动的实时广播电台 实验性项目

AI-powered multi-agent system for NetDevOps/Security automation

Python LLM-RAG deep agent using LangChain, LangGraph and LangSmith built on Quart web microframework and served using Hypercorn ASGI and WSGI web server.

Build and deploy a full-stack RAG app on AWS with Terraform, using free tier Gemini Pro, real-time web search using Remote MCP server and Streamlit UI with token based authentication.

Retrieval Augmented Generation-based Agentic CrewAI

A sophisticated Retrieval-Augmented Generation (RAG) system that combines advanced document processing with intelligent retrieval mechanisms to deliver accurate, context-aware responses from multimoda

RAG boilerplate with semantic/propositional chunking, hybrid search (BM25 + dense), LLM reranking, query enhancement agents, CrewAI orchestration, Qdrant vector search, Redis/Mongo sessioning, Celery

📺 Full walkthrough video: https://youtu.be/Z_l_T22px3U

This workflow implements a Retrieval Augmented Generation (RAG) chatbot that answers employee questions based on company documents stored in Google Drive. It automatically indexes new or updated docum

⚠️ RUN the FIRST WORKFLOW ONLY ONCE

This project aims to compare different Retrieval-Augmented Generation (RAG) frameworks in terms of speed and performance.

RAG PDF langchain