Apache Lucene vs. Perplexity

Apache Lucene is a perfect text search implementation where the heap space usage needs to be kept to its minimal. It also enables search based on various search fields and most importantly the search and index process can happen simultaneously. The only scenario where it might be less appropriate would be when the index size grows too big. We have witnessed few scalable issues where the search would take a while when the index size is too large.

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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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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

• We found Apache Lucene to be extremely performant in querying large amounts of data and retrieving the correct files based on the metadata provided.
• The online community offers great support for the product. Even though it is an open source tool, it is not difficult to find help online for it.
• When we were creating a proof of concept application, we found that the software worked just as well, while being run locally on a resource-limited PC.

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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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• User interface for setup and maintenance would be helpful.
• Easier cloud/cluster setup.
• Better, centralized documentation.

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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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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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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

The search and index performance of [Apache] Lucene is excellent and the quality of results is good, if not better. For implementing it with small scale applications it is a no brainer, Lucene is the best and most cost effective solution. Learning curve is not too steep either.

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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.

• Being an open source project we did not have to pay any licensing fees for using Apache Lucene. It has greatly improved our search functionality in our web apps.

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info

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

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info