Skip to content
#

enterprise-ai-engineering

Here are 14 public repositories matching this topic...

This project enables users to **generate SQL queries from natural language** using **LLM** of their choice while enforcing **Role-Based Access Control (RBAC)** and **Row-Level Security (RLS)**. It also includes **SQL injection detection** and **sensitive data logging** for compliance and security.

  • Updated Aug 12, 2025
  • Python

Modular, enterprise-grade AI outreach automation platform orchestrated with n8n. Automates lead acquisition, AI-driven research, enrichment & personalization, LinkedIn & email execution, engagement state tracking, event-driven workflows, & AI-powered conversational reply automation using OpenAI, Apollo, Apify, Unipile, Google Sheets, & PostgreSQL.

  • Updated Jan 7, 2026

Advanced, modular, and enterprise-grade AI automation control plane combining Custom GPT Actions, n8n orchestration, Google Workspace workflows, and serverless OCR. Implements schema-driven, agent-based ingest, clean, analyze, and report pipelines with data normalization, conversion, audit logging, cron-based scheduling, & enterprise observability.

  • Updated Jan 10, 2026

AI-powered commission plan assistant featuring advanced RAG pipeline, Model Context Protocol (MCP) PostgreSQL server integration, multi-format document processing, and secure SELECT-only database operations. Guided 3-phase plan creation with conversational interface.

  • Updated Nov 18, 2025
  • Python

Modular, enterprise-grade AI outreach automation platform orchestrated with n8n. Automates lead acquisition, AI-driven research, enrichment & personalization, LinkedIn & email execution, engagement state tracking, event-driven workflows, & AI-powered conversational reply automation using OpenAI, Apollo, Apify, Unipile, Google Sheets, & PostgreSQL.

  • Updated Jan 10, 2026

A production-ready, enterprise-grade AI-powered LinkedIn lead generation & outreach automation system with n8n. Implements agentic workflows, ICP-driven discovery, AI enrichment, semantic content intelligence, multi-signal lead scoring, stateful orchestration, rate-limited outreach, auditability, idempotency, & platform-safe compliance controls.

  • Updated Jan 7, 2026

Advanced, modular, and enterprise-grade AI automation control plane combining Custom GPT Actions, n8n orchestration, Google Workspace workflows, and serverless OCR. Implements schema-driven, agent-based ingest, clean, analyze, and report pipelines with data normalization, conversion, audit logging, cron-based scheduling, & enterprise observability.

  • Updated Jan 10, 2026

A production-ready, enterprise-grade AI ad generation platform orchestrated with n8n, OpenAI, and Veo3. Converts voice or text into multi-scene cinematic ads using agentic prompt engineering, distributed cloud rendering, event-driven pipelines, Airtable indexing, JSON2Video compositing, and automated creative orchestration.

  • Updated Jan 10, 2026

A production-ready, enterprise-grade AI-powered LinkedIn lead generation & outreach automation system with n8n. Implements agentic workflows, ICP-driven discovery, AI enrichment, semantic content intelligence, multi-signal lead scoring, stateful orchestration, rate-limited outreach, auditability, idempotency, & platform-safe compliance controls.

  • Updated Jan 10, 2026

A production-ready, enterprise-grade Agentic RAG ingestion pipeline built with n8n, Supabase (pgvector), and AI embeddings. Implements event-driven orchestration, hybrid RAG for structured and unstructured data, vector similarity search, and multi-tenant architecture to deliver client-isolated, retrieval-ready knowledge bases.

  • Updated Jan 10, 2026
  • PLpgSQL

A production-ready, enterprise-grade AI ad generation platform orchestrated with n8n, OpenAI, and Veo3. Converts voice or text into multi-scene cinematic ads using agentic prompt engineering, distributed cloud rendering, event-driven pipelines, Airtable indexing, JSON2Video compositing, and automated creative orchestration.

  • Updated Jan 9, 2026

A production-ready, enterprise-grade Agentic RAG ingestion pipeline built with n8n, Supabase (pgvector), and AI embeddings. Implements event-driven orchestration, hybrid RAG for structured and unstructured data, vector similarity search, and multi-tenant architecture to deliver client-isolated, retrieval-ready knowledge bases.

  • Updated Jan 10, 2026
  • PLpgSQL

Improve this page

Add a description, image, and links to the enterprise-ai-engineering topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the enterprise-ai-engineering topic, visit your repo's landing page and select "manage topics."

Learn more