> ## Documentation Index
> Fetch the complete documentation index at: https://docs.miso.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# 🙋‍♂️ FAQ

> Have a question? We just might have you covered.

<AccordionGroup>
  <Accordion title="I want a recipe that does [X]. Can Miso help?">
    Most likely! We'd love to hear your ideas. Please reach out to us any time at [support@askmiso.com](mailto:support@askmiso.com).
  </Accordion>

  <Accordion title="Can Miso recommend UX patterns for implementing a recipe?">
    Yes! We have tons of experience in what UX patterns are most effective for personalized search and recommendations. Ask your Miso solutions engineer about Bento, our coming-soon UI Kit of best practices and style guides.
  </Accordion>

  <Accordion title="How should I send interaction data to Miso: in bulk or in real-time?">
    Historical interactions can be bulk uploaded. However, **it's essential to stream live interactions in real-time at low latency.** This allows Miso to personalize the experience for each user immediately as they click, scroll, and search on your site. And it's particularly important for new users, where we want to tailor the recommendations at cold-start. [Here you'll find some sample code for streaming interactions from your frontend JavaScript](/docs/deep-dives/integrating-your-data#streaming-real-time-interaction-data-from-your-frontend-js).
  </Accordion>

  <Accordion title="What do Miso's results look like for first-time users?">
    Miso will provide results based on all the activity on your site, and then will immediately learn based on the user's first few interactions. (That's why it's important to stream interactions to Miso in real time!) If you want, you can also use the `user_cohort` parameter to tell Miso to personalize the cold start behavior as if the user belonged to a certain cohort on your site. See the [API documentation](https://api.askmiso.com) for more details.
  </Accordion>

  <Accordion title="Can Miso incorporate negative signals?">
    Yes. Common examples of negative signals include: removing an item from the cart, requesting a refund, removing an item from a collection, or pressing a 'dislike' button. Also, an event such as a product detail view that has a very low duration may indicate that the item wasn't that relevant to them. For more information on the different types of interactions that Miso supports, please see [Importing Interaction Data](https://docs.miso.ai/introduction/importing-interaction-data).
  </Accordion>

  <Accordion title="Can Miso use social engagement (likes, comments) in its model?">
    Yes. Miso can incorporate social feedback such as liking, commenting, sharing, and rating. These are strong signals of user preference and you should send them to Miso if you have them. For more information on the different types of interactions that Miso supports, please see [Importing Interaction Data](https://docs.miso.ai/introduction/importing-interaction-data).
  </Accordion>

  <Accordion title="Can Miso's engines be trained using limited structured data?">
    To maximize the meaningfulness of your search and recommendation results, we recommend that you provide as many details as you can about the products or content in your catalog. This includes attributes such as the title, description, brand, and any domain-specific tags. For more information on our product schema, see [Importing Product Catalog Data](https://docs.miso.ai/introduction/importing-product-catalog-data). When neccessary, Miso can also be trained using unstructured data, such as images and videos, to bolster the personalization models.
  </Accordion>

  <Accordion title="Can your APIs support asynchronous writes?">
    Yes. To use asynchronous mode, append `?async=1` to the Product or User Upload APIs.
  </Accordion>

  <Accordion title="Do I need to send customers' purchase history to Miso?">
    During the onboarding phase, we will typically ask for at least 3 months of clickstream data for product detail page views and add to cart events, at minimum. Although not required, if customers' purchase history is ready available, Miso can incorporate it into the initial training. Once the real-time clickstream data feed is set up, Miso will automatically keep track of purchase history and retrain the models accordingly on a given cadence.
  </Accordion>

  <Accordion title="What is your strategy to minimize latency for customers globally?">
    We have a wide array of satellite servers in US East / Asia / Europe that serve latency-sensitive requests, such as Search and Recommendations API calls. To keep latency to an absolute minimum, some customers will choose to make Search and Recommendations requests from their front-end JavaScript code, and let their users' browsers talk to Miso API directly. Contact your Miso solutions engineer for more details about this option.
  </Accordion>

  <Accordion title="Can Miso be used headless?">
    Yes. Most interfacing with Miso is done via REST APIs in your front and back-end clients, or through our [Node.js](https://misoai.github.io/miso-server-js-sdk/sdk/) and [Python SDK](https://misoai.github.io/miso-python-sdk/), primarily for data upload (content and interactions). The initial engine training and certain merchandising tools, such as synonyms, are managed through Dojo, our no-code UI for administering your Miso instance.

    For Answer deployments specifically, we also recommend exploring our [front-end JS SDK](https://github.com/MisoAI/miso-client-js-sdk), which provides ready-to-use UI components, built-in analytics, and customizable HTML templates, saving significant development time compared to building from scratch.
  </Accordion>

  <Accordion title="Can you decouple the Search and Recommendation engines?">
    Yes. In fact, the Search and Recommendation engines are entirely separate and can be fine-tuned individually.
  </Accordion>

  <Accordion title="Can I manually swap out a recommendation or search result?">
    Absolutely! You can boost, bury, or exclude products, brands, categories, etc. from your recommendations or search results based on pre-defined conditions that are set either programmatically or using Dojo, our no-code UI. For more information, see our [Boosting and Pinning recipe](https://docs.miso.ai/recipes/boosting-and-pinning).
  </Accordion>
</AccordionGroup>