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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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.. | ||
brain | ||
files | ||
llm | ||
processor | ||
storage | ||
__init__.py | ||
chat_llm.py | ||
chat.py | ||
config.py | ||
models.py | ||
prompts.py | ||
quivr_rag_langgraph.py | ||
quivr_rag.py | ||
utils.py |