> ## Documentation Index
> Fetch the complete documentation index at: https://llm-tools.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# ❓ FAQs

> Collections of all the frequently asked questions

<AccordionGroup>
  <Accordion title="How to use MistralAI language model?">
    <CodeGroup>
      ```ts index.ts theme={null}
      import 'dotenv/config';
      import { RAGApplicationBuilder } from '@llm-tools/embedjs';
      import { Mistral } from '@llm-tools/embedjs-mistral';
      import { WebLoader } from '@llm-tools/embedjs-loader-web';
      import { HNSWDb } from '@llm-tools/embedjs-hnswlib';

      const llmApplication = await new RAGApplicationBuilder()
          .setModel(new Mistral({ modelName: 'mistral-medium' }))
          .setVectorDatabase(new HNSWDb())
          .build();

      await llmApplication.addLoader(new WebLoader({ urlOrContent: 'https://en.wikipedia.org/wiki/Tesla,_Inc.' }));

      console.log(await llmApplication.query('Who founded Tesla?'));
      ```
    </CodeGroup>
  </Accordion>

  <Accordion title="How to use GPT-4o as the Language model?">
    Use the model `gpt-4o` provided my openai.

    <CodeGroup>
      ```ts index.ts theme={null}
      import 'dotenv/config';
      import { RAGApplicationBuilder } from '@llm-tools/embedjs';
      import { OpenAi, OpenAiEmbeddings } from '@llm-tools/embedjs-openai';
      import { WebLoader } from '@llm-tools/embedjs-loader-web';
      import { HNSWDb } from '@llm-tools/embedjs-hnswlib';

      const llmApplication = await new RAGApplicationBuilder()
          .setModel(new OpenAi({ modelName: 'gpt-4o' }))
          .setEmbeddingModel(new OpenAiEmbeddings())
          .setVectorDatabase(new HNSWDb())
          .build();

      await llmApplication.addLoader(new WebLoader({ urlOrContent: 'https://en.wikipedia.org/wiki/Tesla,_Inc.' }));

      console.log(await llmApplication.query('Who founded Tesla?'));
      ```
    </CodeGroup>
  </Accordion>

  <Accordion title="I don't have OpenAI credits. How can I use a local model?">
    <CodeGroup>
      ```ts index.ts theme={null}
      import { RAGApplicationBuilder } from '@llm-tools/embedjs';
      import { OllamaEmbeddings } from '@llm-tools/embedjs-ollama';
      import { WebLoader } from '@llm-tools/embedjs-loader-web';

      const ragApplication = await new RAGApplicationBuilder()
          .setModel(new Ollama({ modelName: "llama3.2", baseUrl: 'http://localhost:11434' }))
          .setEmbeddingModel(new OllamaEmbeddings({ model: 'nomic-embed-text', baseUrl: 'http://localhost:11434' }))
          .build();

      await ragApplication.addLoader({ urlOrContent: 'https://www.forbes.com/profile/elon-musk' })
      await ragApplication.addLoader({ urlOrContent: 'https://en.wikipedia.org/wiki/Elon_Musk' })

      await ragApplication.query('What is the net worth of Elon Musk today?')
      ```
    </CodeGroup>
  </Accordion>
</AccordionGroup>

#### Still have questions?

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

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