sync: update from internal GitLab repository

Content updated:

Files:
- README.md
- module.xml

Directories:
- docs/

Synced at: 2025-08-02 14:08:12

Author: tom-dyar

README.md

@@ -52,6 +52,11 @@ make quick-start        # Guided setup wizard
 
 ## 🚀 Quick Start
 
+### 🆓 Free Community Edition
+**This project uses InterSystems IRIS Community Edition by default - completely free, no license required!**
+
+All Docker configurations (`docker-compose.yml`, `docker-compose.iris-only.yml`) use `intersystemsdc/iris-community:latest` for immediate, license-free usage. For Enterprise Edition features, see `docker-compose.licensed.yml`.
+
 ### One-Command Setup
 Get started with a complete RAG system in minutes using our intelligent setup wizard:
 
@@ -285,6 +290,7 @@ make quick-start-status     # Check system health and configuration
 
 ## 🌟 Key Features
 
+- **🆓 Free to Use**: Default IRIS Community Edition setup - no license required
 - **🚀 One-Command Setup**: Complete RAG systems in minutes with intelligent profiles
 - **🎯 Profile-Based Configuration**: Minimal, Standard, Extended - optimized for every use case
 - **🔧 Interactive CLI Wizard**: Guided setup with validation and intelligent defaults

docs/guides/DEPLOYMENT_GUIDE.md

@@ -76,16 +76,23 @@ uv pip install -r requirements.txt
 
 #### Option A: Docker Deployment (Recommended for Development)
 ```bash
-# Start IRIS container using docker-compose
+# Start IRIS Community Edition container using docker-compose (default)
+docker-compose up -d
+
+# Alternative: Use the standalone community configuration
 docker-compose -f docker-compose.iris-only.yml up -d
 
 # Wait for container to be ready (check health)
-docker-compose -f docker-compose.iris-only.yml ps
+docker-compose ps
 
 # Verify container is running
 docker ps | grep iris
 ```
 
+**🆓 Community Edition vs Enterprise Edition**:
+- The default `docker-compose.yml` uses **IRIS Community Edition** (free, no license required)
+- For Enterprise Edition features, use `docker-compose.licensed.yml` (requires valid IRIS license)
+
 #### Option B: Native IRIS Installation (Production)
 ```bash
 # Install IRIS on your system

module.xml

@@ -6,7 +6,7 @@
       <Version>0.2.0</Version>
       <Description>A comprehensive, production-ready framework for implementing Retrieval Augmented Generation (RAG) pipelines using InterSystems IRIS as the vector database backend. Features unified Query() API, requirements-driven orchestrator, and 7 RAG techniques.</Description>
       <Keywords>RAG,Vector Search,Machine Learning,AI,IRIS,Python,Embeddings,ColBERT,CRAG,GraphRAG,HyDE</Keywords>
-      <Author>InterSystems</Author>
+      <Author>Thomas Dyar</Author>
       <License>MIT</License>
       <Repository>https://github.com/intersystems/iris-rag-templates</Repository>
       <Homepage>https://github.com/intersystems/iris-rag-templates</Homepage>