Final/linux testing adjusted

.env.example

@@ -37,7 +37,7 @@ EMBEDDING_MAX_SEQ_LENGTH=512
 EMBEDDING_NORMALIZE=true
 EMBEDDING_SHOW_PROGRESS=true
 EMBEDDING_USE_PREFIXES=true
-# (domyślnie w settings są spacje po dwukropku)
+# (by default, set to "true" to improve multilingual embedding quality)
 EMBEDDING_QUERY_PREFIX=query:
 EMBEDDING_PASSAGE_PREFIX=passage:
 
@@ -99,14 +99,14 @@ MULTIHOP_ADAPTIVE_TOP_K=true
 # LLM (provider selection + local Ollama)
 # ─────────────────────────────────────────────────────────────────────────────
 LLM_MODEL=Qwen/Qwen3-8B-Instruct
-LLM_MODEL_NAME_OLLAMA=qwen3:14b
+LLM_MODEL_NAME_OLLAMA=qwen3:8b
 LLM_PROVIDER=ollama
 OLLAMA_HOST=http://localhost:11434
-# OLLAMA_MODELS_PATH (opcjonalne) – zostaw puste jeśli nie używasz
+# OLLAMA_MODELS_PATH (opcjonalne) – leave blank if not needed
 # OLLAMA_MODELS_PATH=E:\Models\Ollama\.ollama\models
 
 # ─────────────────────────────────────────────────────────────────────────────
-# LLM – parametry wspólne
+# LLM – shared params
 # ─────────────────────────────────────────────────────────────────────────────
 LLM_MAX_NEW_TOKENS=16384
 LLM_DEVICE=cuda
@@ -116,14 +116,14 @@ LLM_TOP_P=0.9
 REPETITION_PENALTY=1.1
 
 # ─────────────────────────────────────────────────────────────────────────────
-# LLM (HTTP API – używane, gdy LLM_PROVIDER ≠ ollama)
+# LLM (HTTP API – used, when LLM_PROVIDER ≠ ollama)
 # ─────────────────────────────────────────────────────────────────────────────
 LLM_API_BASE_URL=https://dashscope-intl.aliyuncs.com/compatible-mode/v1
 LLM_API_KEY=...
 LLM_API_MODEL_NAME=qwen3-32b
 
 # ─────────────────────────────────────────────────────────────────────────────
-# vLLM (ignorowane, gdy LLM_PROVIDER=ollama)
+# vLLM (ignored, when LLM_PROVIDER=ollama)
 # ─────────────────────────────────────────────────────────────────────────────
 TENSOR_PARALLEL_SIZE=1
 GPU_MEMORY_UTILIZATION=0.9

Dockerfile

@@ -1,23 +1,17 @@
 FROM python:3.12-slim
 
-# Set working directory
 WORKDIR /app
 
-# Install system dependencies
 RUN apt-get update && apt-get install -y \
     build-essential \
     curl \
     wget \
     git \
     && rm -rf /var/lib/apt/lists/*
 
-# Copy requirements/pyproject
 COPY pyproject.toml README.md ./
-
-# Install uv for faster package management (optional)
 RUN pip install --no-cache-dir uv
 
-# Install Python dependencies
 RUN uv pip install --system --no-cache \
     wikiextractor \
     qdrant-client \
@@ -40,20 +34,15 @@ RUN uv pip install --system --no-cache \
     click \
     python-dotenv
 
-# Download NLTK data
 RUN python -c "import nltk; nltk.download('punkt')"
 
-# Copy source code
 COPY src ./src
 COPY configs ./configs
 COPY scripts ./scripts
 
-# Create necessary directories
 RUN mkdir -p /app/data/raw /app/data/processed /app/data/index /app/logs
 
-# Set environment variables
 ENV PYTHONUNBUFFERED=1
 ENV PYTHONPATH=/app:$PYTHONPATH
 
-# Default command
 CMD ["python", "-c", "print('RAGx container ready')"]