mem0/docs/get-started/faq.mdx

---
title: ❓ FAQs
description: 'Collections of all the frequently asked questions'
---
<AccordionGroup>
<Accordion title="Does Embedchain support OpenAI's Assistant APIs?">
Yes, it does. Please refer to the [OpenAI Assistant docs page](/get-started/openai-assistant).
</Accordion>
<Accordion title="How to use MistralAI language model?">
Use the model provided on huggingface: `mistralai/Mistral-7B-v0.1`
<CodeGroup>
```python main.py
import os
from embedchain import Pipeline as App

os.environ["OPENAI_API_KEY"] = "sk-xxx"
os.environ["HUGGINGFACE_ACCESS_TOKEN"] = "hf_your_token"

app = App.from_config("huggingface.yaml")
```
```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
```
</CodeGroup>
</Accordion>
<Accordion title="How to use ChatGPT 4 turbo model released on OpenAI DevDay?">
Use the model `gpt-4-turbo` provided my openai.
<CodeGroup>

```python main.py
import os
from embedchain import Pipeline as App

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

# load llm configuration from gpt4_turbo.yaml file
app = App.from_config(config_path="gpt4_turbo.yaml")
```

```yaml gpt4_turbo.yaml
llm:
  provider: openai
  config:
    model: 'gpt-4-turbo'
    temperature: 0.5
    max_tokens: 1000
    top_p: 1
    stream: false
```
</CodeGroup>
</Accordion>
<Accordion title="How to use GPT-4 as the LLM model?">
<CodeGroup>

```python main.py
import os
from embedchain import Pipeline as App

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

# load llm configuration from gpt4.yaml file
app = App.from_config(config_path="gpt4.yaml")
```

```yaml gpt4.yaml
llm:
  provider: openai
  config:
    model: 'gpt-4'
    temperature: 0.5
    max_tokens: 1000
    top_p: 1
    stream: false
```

</CodeGroup>
</Accordion>
<Accordion title="I don't have OpenAI credits. How can I use some open source model?">
<CodeGroup>

```python main.py
import os
from embedchain import Pipeline as App

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

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

```yaml 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'
```
</CodeGroup>

</Accordion>
</AccordionGroup>

#### Need more help?
If docs aren't sufficient, please feel free to reach out to us using one of the following methods:

<Snippet file="get-help.mdx" />