Update ag-ui-research example with haiku.rag-slim image

CHANGELOG.md

@@ -18,6 +18,13 @@
   - `true`: Tables preserved as markdown format with structure
 - **Chunking Configuration**: Additional chunking control options
   - New `chunking_merge_peers` config option (default: `true`) to merge undersized successive chunks
+- **Docker Images**: Two Docker images for different deployment scenarios
+  - `haiku.rag`: Full image with all dependencies for self-contained deployments
+  - `haiku.rag-slim`: Minimal image designed for use with external docling-serve
+  - Multi-platform support (linux/amd64, linux/arm64)
+  - Docker Compose examples with docling-serve integration
+  - Automated CI/CD workflows for both images
+  - Build script (`scripts/build-docker-images.sh`) for local multi-platform builds
 
 ### Changed
 
@@ -25,6 +32,10 @@
   - Default tokenizer changed from tiktoken "gpt-4o" to "Qwen/Qwen3-Embedding-0.6B"
   - New `chunking_tokenizer` config option in `ProcessingConfig` for customization
   - `download-models` CLI command now also downloads the configured HuggingFace tokenizer
+- **Docker Examples**: Updated examples to demonstrate remote processing
+  - `examples/docker` now uses slim image with docling-serve
+  - `examples/ag-ui-research` backend uses slim image with docling-serve
+  - Configuration examples include remote processing setup
 
 ## [0.16.1] - 2025-11-14
 

examples/ag-ui-research/README.md

@@ -23,6 +23,8 @@ Research assistant powered by [haiku.rag](https://ggozad.github.io/haiku.rag/),
 ### Setup
 
 1. **Prepare your knowledge base**
+
+   **Option A: Create a new database**
    ```bash
    mkdir -p data
    haiku-rag add "Your documents here" --db data/haiku_rag.lancedb
@@ -30,6 +32,22 @@ Research assistant powered by [haiku.rag](https://ggozad.github.io/haiku.rag/),
    haiku-rag add-src document.pdf --db data/haiku_rag.lancedb
    ```
 
+   **Option B: Use an existing database**
+
+   Set the `DB_PATH` environment variable to point to your existing haiku.rag database:
+   ```bash
+   # In .env file
+   DB_PATH=/path/to/your/existing/haiku_rag.lancedb
+   ```
+
+   Or export it before running docker compose:
+   ```bash
+   export DB_PATH=/path/to/your/existing/haiku_rag.lancedb
+   docker compose up --build
+   ```
+
+   The database will be mounted as read-write, so the research assistant can access all documents in your existing knowledge base.
+
 2. **Configure haiku.rag**
    ```bash
    cp haiku.rag.yaml.example haiku.rag.yaml
@@ -41,16 +59,17 @@ Research assistant powered by [haiku.rag](https://ggozad.github.io/haiku.rag/),
    ```bash
    cp .env.example .env
    # Edit .env to set your API keys
-   export OPENAI_API_KEY=your-key-here
+   OPENAI_API_KEY=your-key-here
-   export ANTHROPIC_API_KEY=your-key-here
+   ANTHROPIC_API_KEY=your-key-here
+   DB_PATH=/path/to/your/existing/haiku_rag.lancedb # If using an existing db.
    ```
 
-4. **Start the application**
+1. **Start the application**
    ```bash
    docker compose up --build
    ```
 
-5. **Access the interface**
+2. **Access the interface**
    - Frontend: http://localhost:3000
    - Backend health: http://localhost:8000/health
 

examples/ag-ui-research/backend/Dockerfile

@@ -1,4 +1,4 @@
-FROM ghcr.io/ggozad/haiku.rag:latest
+FROM ghcr.io/ggozad/haiku.rag-slim:latest
 
 WORKDIR /app
 
@@ -6,7 +6,6 @@ WORKDIR /app
 COPY main.py agent.py ./
 
 # Install additional dependencies for the example
-# Note: haiku-rag-slim is already installed in the base image
 RUN pip install --no-cache-dir \
     starlette>=0.45.2 \
     uvicorn[standard]>=0.34.2 \

examples/ag-ui-research/docker-compose.yml

@@ -1,4 +1,22 @@
 services:
+  docling-serve:
+    image: quay.io/docling-project/docling-serve:latest
+    container_name: ag-ui-docling-serve
+    ports:
+      - "5001:5001"
+    environment:
+      - DOCLING_SERVE_ENABLE_UI=1
+    networks:
+      - ag-ui-network
+    restart: unless-stopped
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:5001/health"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 40s
+      start_interval: 5s
+
   backend:
     build:
       context: ./backend
@@ -17,13 +35,13 @@ services:
     volumes:
       - ${DB_PATH}:/app/data/haiku.rag.lancedb
       - ./haiku.rag.yaml:/app/haiku.rag.yaml:ro
-      - ./backend/main.py:/app/main.py
-      - ./backend/agent.py:/app/agent.py
-      - ../../haiku_rag_slim/haiku:/app/.venv/lib/python3.13/site-packages/haiku
     networks:
       - ag-ui-network
     extra_hosts:
       - "host.docker.internal:host-gateway"
+    depends_on:
+      docling-serve:
+        condition: service_healthy
     restart: unless-stopped
     healthcheck:
       test: ["CMD", "python", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')"]

examples/ag-ui-research/haiku.rag.yaml.example

@@ -1,6 +1,21 @@
 # haiku.rag configuration for ag-ui-research example
 # Copy to haiku.rag.yaml and customize
 
+# Document processing with docling-serve
+processing:
+  converter: docling-serve
+  chunker: docling-serve
+  chunk_size: 256
+  chunker_type: hybrid
+
+providers:
+  docling_serve:
+    base_url: http://docling-serve:5001
+    api_key: ""
+    timeout: 300
+  ollama:
+    base_url: http://host.docker.internal:11434
+
 research:
   provider: ollama
   model: gpt-oss:latest
@@ -8,10 +23,6 @@ research:
   confidence_threshold: 0.8
   max_concurrency: 1
 
-providers:
-  ollama:
-    base_url: http://host.docker.internal:11434
-
 # For OpenAI:
 # research:
 #   provider: openai