5/6/2023 0 Comments Algolia pdf search![]() ![]() You're right about what you say on Algolia. Thanks to Tika, we easily split the PDF into paragraphs, and thanks to Nokogiri we have parsed it with extreme ease.I'm using Algolia and SolR in production for an e-commerce website. require "nokogiri" require "yomu" def invalid_paragraph?(str) disallowed_strings = disallowed_strings.include?(str) end def get_pdf_paragraphs(filename) yomu = Yomu.new(filename) paragraphs = doc = Nokogiri::HTML(yomu.html) page = 0 doc.css('.page').each do |node| node.css('p').each do |paragraph| paragraph_text = paragraph.inner_text next if invalid_paragraph?(paragraph_text) paragraphs "Dracula \nBram Stoker \n", :page => 0 },, ]Īnd there you have it. I have used Nokogiri in the past to parse HTML and it’s pretty easy in this case. Īnd here is the 2nd page in the PDF for comparison: get recipe for Mina.) I asked the waiter, and he said it was called ‘paprika hendl,’ and that, as it was a national dish, I should be able to get it anywhere along the Carpathians. I had for dinner, or rather supper, a chicken done up some way with red pepper, which was very good but thirsty. ![]() Here I stopped for the night at the Hotel Royale. We left in pretty good time, and came after nightfall to Klausenburgh. The impression I had was that we were leaving the West and entering the East the most western of splendid bridges over the Danube, which is here of noble width and depth, took us among the traditions of Turkish rule. I feared to go very far from the station, as we had arrived late and would start as near the correct time as possible. Buda-Pesth seems a wonderful place, from the glimpse which I got of it from the train and the little I could walk through the streets. Bistritz.-Left Munich at 8:35 P.M., on 1st May, arriving at Vienna early next morning should have arrived at 6:46, but train was an hour late. There’s a lot of useful data there, and you can use Tika to get metadata, detect content language, and so many other powerful options, but in our case we are more interested in the body, here’s a snippet of what the body looks like (2nd page of the PDF): Dracula 2 of 684 Chapter 1 Jonathan Harker’s Journal 3 May. Let’s look at the metadata that we got out of that: Dracula The -r option is for pretty printing, and Tika outputs HTML for easy parsing (I used > to pass the HTML output into a file called dracula.html). I’m going to use a PDF version of Dracula (and then I cut out everything but the first 3 pages) that I acquired for free from PDFPlanet and I ran: tika -r dracula-shortened.pdf > dracula.html I was able to quickly and easily acquire Tika via HomeBrew: ![]() All of these file types can be parsed through a single interface, making Tika useful for search engine indexing, content analysis, translation, and much more.Īdam also recommended that I split the PDF into paragraphs because it assures that the searched text isn’t too long and that the relevancy is high. ![]() The Apache Tika™ toolkit detects and extracts metadata and text from over a thousand different file types (such as PPT, XLS, and PDF). He directed me towards Apache Tika which as their page states: I was surprised to get a response only two minutes later (literally) from Adam Surak, director of infrastructure at Algolia (a search service used by Medium surprisingly, and even Twitch) and he helped me out quite a bit. I went ahead and looked at StackShare and found a category for Search as a Service, I had always heard amazing things about Elastic Search and I checked out most of the other tools available there and contacted their support teams asking for some guidance. Usually a quick Google search would turn up a tutorial or guide on how to tackle a task like this, but this time I didn’t have any luck, so I decided I’d share my experience after I had something working. I needed something working and I didn’t have a lot of time. I was working on a project that required me to have some really powerful search capabilities that work for multiple languages, and especially searching through file contents (I initially started with PDF). This is the first guide I’ve written so bear with me, and please provide feedback! Mirror of this post from omar.engineer Figuring out where to start from Indexing PDF For Searching Using Tika, Nokogiri, and Algolia ![]()
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