❓ FAQs

```yaml huggingface.yaml
llm:
  provider: huggingface
  config:
    model: 'mistralai/Mistral-7B-v0.1'
    temperature: 0.5
    max_tokens: 1000
    top_p: 0.5
    stream: false

embedder:
  provider: huggingface
  config:
    model: 'sentence-transformers/all-mpnet-base-v2'

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")

llm:
  provider: openai
  config:
    model: 'gpt-4-turbo'
    temperature: 0.5
    max_tokens: 1000
    top_p: 1
    stream: false

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")

llm:
  provider: openai
  config:
    model: 'gpt-4'
    temperature: 0.5
    max_tokens: 1000
    top_p: 1
    stream: false

from embedchain import App

# load llm configuration from opensource.yaml file
app = App.from_config(config_path="opensource.yaml")

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
  config:
    model: 'all-MiniLM-L6-v2'

import os
from embedchain import App

os.environ['OPENAI_API_KEY'] = 'sk-xxx'

app = App.from_config(config_path="openai.yaml")

app.add("https://www.forbes.com/profile/elon-musk")

response = app.query("What is the net worth of Elon Musk?")
# response will be streamed in stdout as it is generated.

```python 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?")