# Pull the image
docker pull memvid/cli

# Create a memory
docker run --rm -v $(pwd):/data memvid/cli create my-memory.mv2

# Add documents
docker run --rm -v $(pwd):/data memvid/cli put my-memory.mv2 --input doc.pdf

# Search
docker run --rm -v $(pwd):/data memvid/cli find my-memory.mv2 --query "search"

# Show help
docker run --rm memvid/cli

# Show version
docker run --rm memvid/cli --version

# Create a memory file (mount local directory)
docker run --rm -v $(pwd):/data memvid/cli create my-memory.mv2

# Ingest a document
docker run --rm -v $(pwd):/data memvid/cli put my-memory.mv2 --input document.pdf

# Search the memory
docker run --rm -v $(pwd):/data memvid/cli find my-memory.mv2 --query "search term"

# Ask questions (requires API key for LLM)
docker run --rm -v $(pwd):/data \
  -e OPENAI_API_KEY="sk-..." \
  memvid/cli ask my-memory.mv2 "What is this about?" -m openai

# View stats
docker run --rm -v $(pwd):/data memvid/cli stats my-memory.mv2

# Pass Memvid API key for cloud features
docker run --rm -v $(pwd):/data \
  -e MEMVID_API_KEY="mv2_..." \
  -e OPENAI_API_KEY="sk-..." \
  memvid/cli ask my-memory.mv2 "your question"

alias memvid='docker run --rm -v $(pwd):/data -e MEMVID_API_KEY -e OPENAI_API_KEY memvid/cli'

memvid create my-memory.mv2
memvid put my-memory.mv2 --input docs/
memvid find my-memory.mv2 --query "hello"

version: '3.8'
services:
  memvid:
    image: memvid/cli:latest
    volumes:
      - ./data:/data
    environment:
      - MEMVID_API_KEY=${MEMVID_API_KEY}
      - OPENAI_API_KEY=${OPENAI_API_KEY}
    entrypoint: ["memvid"]
    command: ["stats", "my-memory.mv2"]