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❓ FAQs
Collections of all the frequently asked questions
Yes, it does. Please refer to the OpenAI Assistant docs page.
Use the model provided on huggingface: mistralai/Mistral-7B-v0.1
import os
from embedchain import App
os.environ["HUGGINGFACE_ACCESS_TOKEN"] = "hf_your_token"
app = App.from_config("huggingface.yaml")
Use the model gpt-4-turbo provided my openai.
import os
from embedchain import App
os.environ['OPENAI_API_KEY'] = 'xxx'
# load llm configuration from gpt4_turbo.yaml file
app = App.from_config(config_path="gpt4_turbo.yaml")
import os
from embedchain import App
os.environ['OPENAI_API_KEY'] = 'xxx'
# load llm configuration from gpt4.yaml file
app = App.from_config(config_path="gpt4.yaml")
from embedchain import App
# load llm configuration from opensource.yaml file
app = App.from_config(config_path="opensource.yaml")
You can achieve this by setting stream to true in the config file.
llm:
provider: openai
config:
model: 'gpt-3.5-turbo'
temperature: 0.5
max_tokens: 1000
top_p: 1
stream: true
Set up the app by adding an id in the config file. This keeps the data for future use. You can include this id in the yaml config or input it directly in config dict.
app1.py
import os
from embedchain import App
os.environ['OPENAI_API_KEY'] = 'sk-xxx'
app1 = App.from_config(config={
"app": {
"config": {
"id": "your-app-id",
}
}
})
app1.add("https://www.forbes.com/profile/elon-musk")
response = app1.query("What is the net worth of Elon Musk?")
app2.py
import os
from embedchain import App
os.environ['OPENAI_API_KEY'] = 'sk-xxx'
app2 = App.from_config(config={
"app": {
"config": {
# this will persist and load data from app1 session
"id": "your-app-id",
}
}
})
response = app2.query("What is the net worth of Elon Musk?")
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