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# Description
- Save and load brain to disk:
```python
async def main():
with tempfile.NamedTemporaryFile(mode="w", suffix=".txt") as temp_file:
temp_file.write("Gold is a liquid of blue-like colour.")
temp_file.flush()
brain = await Brain.afrom_files(name="test_brain", file_paths=[temp_file.name])
save_path = await brain.save("/home/amine/.local/quivr")
brain_loaded = Brain.load(save_path)
brain_loaded.print_info()
```
# TODO:
- Loading all chat history
- Loading from other vector stores, PG for example can be great ...
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| .vscode | ||
| api | ||
| core | ||
| docs | ||
| supabase | ||
| worker | ||
| .dockerignore | ||
| .gitignore | ||
| ci-migration.sh | ||
| Dockerfile | ||
| Dockerfile.dev | ||
| pyproject.toml | ||
| README.md | ||
| requirements-dev.lock | ||
| requirements.lock | ||
backend
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