# PlantAI-rag local configuration template.
# Copy this file to .env for local runs. Do not commit real API keys,
# passwords, private dataset paths, or server-specific settings.

# Project-local paths can be relative to this repository root.
RAG_OUTPUT_DIR=v15_output
RAG_LEARNING_DIR=v14_learning
METHODOLOGY_BATCH_DIR=data/evaluation/methodology_batch_llm
BGE_RERANKER_ROOT=

# External data/model roots. Fill these in locally when the resources exist.
# PC_DATA_ROOT and PLANTAI_SPLIT_DATA_ROOT are intentionally separate.
# This project does not deduplicate, merge, or rewrite those datasets.
PLANTAI_SOURCE_ROOT=
PC_DATA_ROOT=
PLANTAI_SPLIT_DATA_ROOT=
BBAV5_ROOT=
BBAV5_CAPABILITY_CATALOG=
BBAV5_REAL_JOB_ID=
BBAV5_REAL_INPUT_DIR=
BBAV5_REAL_WORKSPACE_DIR=
BBAV5_PRIMARY_PAPER=
BBAV5_RNASEQ_PAPER=
FT_SPL_V15_RESULT=

# Keep current environment names for now; only the conda install root is configurable.
PLANTAI_CONDA_ROOT=
PLANTAI_CONDA_PROFILE=
PLANTAI_PROJECT_ROOT=
PLANTAI_PYTHON=
GF_PYTHON=
GF_PYTHON_ENV=gfpy312
MINERU_CONDA_ENV=minerupy312

# MinerU runtime.
MINERU_CMD=
PLANTAI_TEST_PDF=
MINERU_MODEL_SOURCE=modelscope
CUDA_VISIBLE_DEVICES=
TORCH_CUDNN_V8_API_DISABLED=1
V15_MINERU_API_URL=http://127.0.0.1:50215
V15_MINERU_BACKEND=pipeline
V15_MINERU_METHOD=txt
V15_MINERU_LANG=en
V15_MINERU_USE_API=0
# Optional: set to 0 to reduce GPU memory when running MinerU pipeline.
V15_MINERU_FORMULA=
V15_MINERU_TABLE=

# LLM/VLM providers. Fill locally only.
DEEPSEEK_API_KEY=
DEEPSEEK_BASE_URL=https://api.deepseek.com
DEEPSEEK_MODEL=deepseek-v4-flash
DASHSCOPE_API_KEY=

# Neo4j is optional unless use_neo4j=True.
NEO4J_URI=bolt://localhost:7687
NEO4J_USER=neo4j
NEO4J_PASSWORD=
NEO4J_DATABASE=neo4j

# Optional service passwords for local Docker stacks.
GF_SECURITY_ADMIN_PASSWORD=