Coveo Relevance Cloud vs. Perplexity vs. SearchUnify

Coveo Relevance Cloud is a great solution to implement into Salesforce to provide Knowledge-Centered Support, Enhancements to a Customer Community, to provide sales aids, or to complement your customized app in Salesforce.

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Perplexity is helpful when you want auto-code generation for day-to-day problem scenarios such as Powershell script to accomplish a task, Code to invoke a REST API, Class generation from JSON/XML data, etc. It is also helpful when you want to correct or optimize code that you have self-written. Perplexity might not be best suited for scenarios when you need 100% accuracy without your self-verification of correctness.

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SearchUnify is well suited when you'd like to search a lot of content. The filtering mechanism is excellent as well as the ability to boost content - it's like having our own search engine. The power of the platform is the dashboard and its metrics which provides tremendous insight into our improving our SEO and discoverability.

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• Coveo is fast, search results come up quick (though it's not always great).
• Not much complexity to run.
• Coveo is implemented within our portal and doesn't require extra steps to use it.

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• Research the company that my prospects work for.
• Research background on my prospects.
• Combine those two and come up with about one page on how to approach them based on the space (persona) I created.

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• It would be great if Coveo 6 allowed you to rebuild indexes from a certain subtree instead of needing to rebuild the entire tree to see changes. This functionality was added in Coveo 7 and is very useful.
• In Coveo 6, integration with Sitecore is more difficult than one would expect. This integration is much improved in Coveo 7.
• I have seen cases where an exception thrown when crawling a specific document will cause the indexing to stop completely. I believe this only happens in implementations using custom faceting but it could be handled more efficiently if the trouble document was skipped and the indexing could continue.
• Relevancy ranking editor is good but not as powerful as GSA. GSA offers a self-learning scorer which automatically analyzes user behavior and the specific links that users click on for specific queries to fine tune relevance and scoring.
• We've ran into issues on multiple clients with Sitecore items being indexed multiple times in Sitecore 7 and Coveo 7. The fix Coveo suggested was to upgrade our Sitecore version and Coveo but unfortunately this didn't resolve our issue. After months of testing we were finally able to resolve this by implementing our own CoveoItemCrawler to get around the issue (based on https://developers.coveo.com/display/public/SC201404/Items+in+the+Same+Language+Gets+Indexed+Multiple+Times;jsessionid=3C1A2AE33540E0A0B8BB52BA3A64AF70).
• Integration with RabbitMQ in Coveo 7 seems error prone. We often see the error "The AMQP operation was interrupted" and on occasion, need to restart the Coveo service to get this operating again. In some extreme cases, we have also had to restart the server because of issues when attempting to restart the Coveo service.

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• Image generation is not upto mark
• Data analysis for excel is way off
• Getting insights on data not available online is hard
• Need to embed like copilot in assisting day to day activities

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This question is not applicable to me

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It's great, but doesn't necessarily feel like it adds enough value over using CoPilot, ChatGPT, or whichever generative AI tool your business already uses. Time will tell if this model continues to be developed, and whether it remains competitive with the other big models out in the industry, and innovating features and integrating more use cases fast.

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I use all three at present, Perplexity IS outstanding when It comes to researching, like a search engine on steroids. If you need programming skills Claude or Chatgpt seem better suited for the task. What I normally do in a project IS use all three in order to arrive at a more insightful outcome. The BEST of all world.

• Quick to find things in a massive database when needed.
• Results need to be more concise - sometimes we spend more time looking for the right file than if we were to just search amongst our own networks instead.
• Coveo is not always the most useful but does its job when general information is needed.

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• Increases efficiency
• Saves costs (e.g. for creation of creative content)
• Frees up time that can be used for other productive actions

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