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Faiss contains several methods for similarity search. It assumes that the instances are represented as vectors and are identified by an integer, and that the vectors can be compared with L2 (Euclidean) distances or dot products. Vectors that are similar to a query vector are those that have the lowest L2 distance or the highest dot product with the query vector. It also supports cosine similarity,
import "github.com/blevesearch/bleve/v2" func main() { // open a new index mapping := bleve.NewIndexMapping() index, err := bleve.New("example.bleve", mapping) // index some data err = index.Index(identifier, your_data) // search for some text query := bleve.NewMatchQuery("text") search := bleve.NewSearchRequest(query) searchResults, err := index.Search(search) } Bleve modern indexing & search for
The task definition N.B. Here is demo app with source code that cover some moments from article http://comparer-f8a6d5.herokuapp.com When it comes to the development of various aggregators of basically any items (goods, service, real estate etc), the problem of duplicates of the same item is always there. For example, it can be duplicates of an apartment photo, product photo etc. It happens becaus
Overview¶ DXR is a code search and navigation tool aimed at making sense of large projects like Firefox. It supports full-text and regex searches as well as structural queries like âFind all the callers of this function.â Behind the scenes, it uses trigram indices, elasticsearch, and static analysis data collected by instrumented compilers to make searches faster and more accurate than is possible
Regular Expression Matching with a Trigram Index or How Google Code Search Worked Russ Cox [email protected] January 2012 Introduction In the summer of 2006, I was lucky enough to be an intern at Google. At the time, Google had an internal tool called gsearch that acted as if it ran grep over all the files in the Google source tree and printed the results. Of course, that implementation would be fairl
A very fast auto-complete server; to be used for as-you-type search suggestions. I have written a blog post comparing various methods for implementing auto-complete for user queries. lib-face implements Approach-4 as mentioned in the blog post. The total cost of querying (TCQ) a corpus of 'n' phrases for not more than 'k' frequently occurring phrases that share a prefix with a supplied phrase is O
imgfind - Searches for similar image files. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Copyright (C) 2011 Joseph Woodruff imgfind is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 3 of the License, or (at your option) any later version. This prog
scout is a RESTful search server written in Python. The search is powered by SQLite's full-text search extension, and the web application utilizes the Flask framework. Scout aims to be a lightweight, RESTful search server in the spirit of ElasticSearch, powered by the SQLite full-text search extension. In addition to search, Scout can be used as a document database, supporting complex filtering op
Examples of Image Search Engines Image Search Engine Basics Tutorials by Adrian Rosebrock on December 1, 2014 Letâs face it. Trying to search for images based on text and tags sucks. Whether you are tagging and categorizing your personal images, searching for stock photos for your company website, or simply trying to find the right image for your next epic blog post, trying to use text and keyword
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