kb-mcp-server

version: '3.8' services: txtai-mcp: build: context: . args: - HF_TRANSFORMERS_MODELS=${HF_TRANSFORMERS_MODELS:-} - HF_SENTENCE_TRANSFORMERS_MODELS=${HF_SENTENCE_TRANSFORMERS_MODELS:-} - HF_CACHE_DIR=${HF_CACHE_DIR:-} ports: - "${PORT:-8000}:${PORT:-8000}" volumes: - txtai_data:/data - ${LOCAL_EMBEDDINGS_PATH:-./embeddings}:${CONTAINER_EMBEDDINGS_PATH:-/data/embeddings} # Optional: Mount the Hugging Face cache directory for runtime access - ${HF_CACHE_DIR:-~/.cache/huggingface/hub}:/root/.cache/huggingface/hub:ro environment: - PORT=${PORT:-8000} - HOST=${HOST:-0.0.0.0} - TRANSPORT=${TRANSPORT:-sse} - EMBEDDINGS_PATH=${EMBEDDINGS_PATH:-/data/embeddings} - CONFIG_FILE=${CONFIG_FILE:-config.yml} - TXTAI_STORAGE_MODE=persistence - TXTAI_INDEX_PATH=/data/embeddings - TXTAI_DATASET_ENABLED=${TXTAI_DATASET_ENABLED:-true} - TXTAI_DATASET_NAME=${TXTAI_DATASET_NAME:-web_questions} - TXTAI_DATASET_SPLIT=${TXTAI_DATASET_SPLIT:-train} - HF_TRANSFORMERS_MODELS=${HF_TRANSFORMERS_MODELS:-} - HF_SENTENCE_TRANSFORMERS_MODELS=${HF_SENTENCE_TRANSFORMERS_MODELS:-} volumes: txtai_data: