from embedchain import App app = App()
from embedchain import App config_dict = { 'llm': { 'provider': 'gpt4all', 'config': { 'model': 'orca-mini-3b-gguf2-q4_0.gguf', 'temperature': 0.5, 'max_tokens': 1000, 'top_p': 1, 'stream': False } }, 'embedder': { 'provider': 'gpt4all' } } # load llm configuration from config dict app = App.from_config(config=config_dict)
from embedchain import App # load llm configuration from config.yaml file app = App.from_config(config_path="config.yaml")
from embedchain import App # load llm configuration from config.json file app = App.from_config(config_path="config.json")
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