feat: Add RAG service and modelfile

rag_service/Dockerfile

@@ -0,0 +1,23 @@
+# Use an official Python runtime as a parent image
+FROM python:3.11-slim
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy the requirements file into the container at /app
+COPY ./requirements.txt /app/
+
+# Install any needed packages specified in requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of the application's code into the container at /app
+COPY . /app/
+
+# Make port 8000 available to the world outside this container
+EXPOSE 8000
+
+# Define environment variables
+ENV OLLAMA_BASE_URL=http://192.168.1.2:30068
+
+# Run the command to build the vector store and then start the API
+CMD sh -c "python rag_builder.py && uvicorn rag_api:app --host 0.0.0.0 --port 8000"