docs: add RELEASE.md and README.md, update release workflow

Author: mmaelicke

.github/workflows/release.yml

@@ -80,6 +80,7 @@ jobs:
       with:
         files: |
           ./artifacts/datailama-*
+        body_path: RELEASE.md
         draft: false
         prerelease: false
         generate_release_notes: true

README.md

@@ -0,0 +1,78 @@
+# DataILama
+
+DataILama is a tool for managing and analyzing research papers using AI. It provides a web interface and API for searching, analyzing, and managing academic papers.
+
+## Features
+
+- Web interface for paper management
+- AI-powered paper analysis
+- REST API for programmatic access
+- Vector search capabilities
+
+## Installation
+
+### From Release
+
+1. Download the latest release from the [releases page](https://github.com/hydrocode-de/datailama/releases)
+2. Choose the appropriate binary for your system
+3. Make it executable (Linux/macOS):
+   ```bash
+   chmod +x datailama-<os>-<arch>
+   ```
+4. Run the server:
+   ```bash
+   ./datailama-<os>-<arch> serve
+   ```
+
+### From Source
+
+1. Clone the repository:
+   ```bash
+   git clone https://github.com/hydrocode-de/datailama.git
+   cd datailama
+   ```
+
+2. Build the frontend:
+   ```bash
+   cd frontend
+   npm install
+   npm run build
+   cd ..
+   ```
+
+3. Build the Go binary:
+   ```bash
+   go build
+   ```
+
+4. Run the server:
+   ```bash
+   ./datailama serve
+   ```
+
+## Configuration
+
+The server can be configured using environment variables or command-line flags:
+
+- `DATAILAMA_PORT`: Port to listen on (default: 8080)
+- `DATAILAMA_DB_URL`: Database connection URL
+- `DATAILAMA_OLLAMA_URL`: Ollama server URL
+
+## Development
+
+### Prerequisites
+
+- Go 1.23 or later
+- Node.js 20 or later
+- PostgreSQL database
+- Ollama server
+
+### Running Tests
+
+```bash
+# Build frontend
+cd frontend && npm install && npm run build && cd ..
+
+# Run Go tests
+go test -v ./...
+```

RELEASE.md

@@ -0,0 +1,21 @@
+# DataILama v{{version}}
+
+## Description
+DataILama is a powerful data management tool that connects your vector databases with local LLM instances through Ollama or cloud instances. It provides a simple CLI interface to manage your data collections and interact with them through a REST API.
+
+## Installation
+Download the appropriate binary for your system from the release assets and make it executable:
+```bash
+# For Linux/macOS
+chmod +x datailama-{{os}}-{{arch}}
+# For Windows
+# No action needed, use the .exe file directly
+```
+
+## Usage
+Run the binary:
+```bash
+./datailama-{{os}}-{{arch}} serve
+```
+
+For more information, see the [README.md](README.md).