Our powerful, flexible and easy to use no-code platform lets you quickly digitise your routine customer service related tasks, customer journeys, actions, follow-ups, questions, knowledge & policies. Then surface these to your customers via a dedicated self-service portal or by using our embeds which enable you to bring content and self-service functionality from Malcolm! into your existing websites, apps or products.
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Malcolm App's answer:
The product is more powerful
Malcolm App's answer:
Since 2003 we’ve been designing, building and operating bespoke customer servicing focused systems for companies and organisations around the world. We’ve seen first hand the positive and transformative effect these systems deliver to our clients and their users. We’ve learnt a lot along the way about how best to design such systems and the features and technical approaches that make things stable, robust and usable. It has long been an ambition of ours to create a powerful, flexible and easy to use SaaS product available at a very competitive price. Malcolm! is that ambition realised. We hope that businesses large and small, all over the world, will use Malcolm! to make their own business better.
Malcolm App's answer:
Malcolm App's answer:
Our combination of features and the teams experience of building customer servicing systems (for over 20 years!)
Malcolm App's answer:
Companies and/or organisations who have a high and growing level of customer service activity
Malcolm App's answer:
Based on our record, Sphinx Search seems to be more popular. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Sphinx is a search engine that can be integrated into a website to provide advanced search functionality such as full-text, Boolean, and faceted search. It is a powerful open-source search engine that can handle large amounts of data and quickly return results. - Source: dev.to / about 1 year ago
Have been using Sphinx. It does some processing around suffixes, tenses, and so on, and looks at word proximity (BM25), but is definitely limited. Source: about 1 year ago
Lucene is the thing you think you need. Elastic Search is a nice wrapper for it. But these are Java, so maybe you want Sphinx Search (C++) or MeiliSearch (Rust). Source: over 1 year ago
Using a natural language search will almost certainly be a better solution and PHP may not be the best tool for this task. Figure out how you are going to get the text out of the PDF and where you are going to put it. Look at things like sphinx and full text search in boolean mode for doing the keyword matching. Source: over 1 year ago
In practice though you don't do any of this, you get a library to do it for you. I've used Sphinx Search in the past for some fairly hefty (In the order of terabytes), and there's a good book covering how to get it all set up and started. Source: almost 2 years ago
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