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workplace-search-python | Elastic Workplace Search Official Python Client | Search Engine library

 by   elastic Python Version: v0.3.0 License: Apache-2.0

 by   elastic Python Version: v0.3.0 License: Apache-2.0

kandi X-RAY | workplace-search-python Summary

workplace-search-python is a Python library typically used in Database, Search Engine applications. workplace-search-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install workplace-search-python' or download it from GitHub, PyPI.
️ This client is deprecated ️ As of Enterprise Search version 7.10.0, we are directing users to the new Enterprise Search Python Client and deprecating this client. This client will be compatible with all Enterprise Search 7.x releases, but will not be compatible with 8.x releases. Our development effort on this project will be limited to bug fixes. All future enhancements will be focused on the Enterprise Search Python Client. Thank you! - Elastic. A first-party Python client for Elastic Workplace Search.
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Support
Quality
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Security
Security
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License
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kandi-support Support

  • workplace-search-python has a low active ecosystem.
  • It has 9 star(s) with 2 fork(s). There are 23 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 1 open issues and 0 have been closed. On average issues are closed in 646 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of workplace-search-python is v0.3.0
This Library - Support
Best in #Search Engine
Average in #Search Engine
This Library - Support
Best in #Search Engine
Average in #Search Engine

quality kandi Quality

  • workplace-search-python has 0 bugs and 0 code smells.
This Library - Quality
Best in #Search Engine
Average in #Search Engine
This Library - Quality
Best in #Search Engine
Average in #Search Engine

securitySecurity

  • workplace-search-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • workplace-search-python code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
This Library - Security
Best in #Search Engine
Average in #Search Engine
This Library - Security
Best in #Search Engine
Average in #Search Engine

license License

  • workplace-search-python is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
This Library - License
Best in #Search Engine
Average in #Search Engine
This Library - License
Best in #Search Engine
Average in #Search Engine

buildReuse

  • workplace-search-python releases are available to install and integrate.
  • Deployable package is available in PyPI.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
This Library - Reuse
Best in #Search Engine
Average in #Search Engine
This Library - Reuse
Best in #Search Engine
Average in #Search Engine
Top functions reviewed by kandi - BETA

kandi has reviewed workplace-search-python and discovered the below as its top functions. This is intended to give you an instant insight into workplace-search-python implemented functionality, and help decide if they suit your requirements.

  • Black source code
    • Run flake8

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workplace-search-python Key Features

Elastic Workplace Search Official Python Client

workplace-search-python Examples and Code Snippets

See all related Code Snippets

Community Discussions

Trending Discussions on Search Engine
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Trending Discussions on Search Engine

QUESTION

How do I create a search engine that find similar results in case it does not find a specific match? (mongoDB)

Asked 2022-Feb-25 at 01:25

I am building a question function in my website where a user can search up a question for example: "how do I cook a cake?" and get a link to the question someone else asked before of whom title is: "how do I make a cake?" the question is almost the same yet the writing is different and for now a user cant find question 2 if they search for question 1 search i just input the search bar into collection.find({}) how do I fix this? is there an API who can maybe generate similar and same meaning sentences to search for?

Thanks!

ANSWER

Answered 2022-Feb-25 at 01:25

I dont think this answer is a search engine tat you want but it is the best that mongodb can do.

Use $text

  1. createIndex
db.articles.createIndex( { subject: "text" } )
  1. data
db.articles.insertMany( [
     { _id: 1, subject: "coffee", author: "xyz", views: 50 },
     { _id: 2, subject: "Coffee Shopping", author: "efg", views: 5 },
     { _id: 3, subject: "Baking a cake", author: "abc", views: 90  },
     { _id: 4, subject: "baking", author: "xyz", views: 100 },
     { _id: 5, subject: "Café Con Leche", author: "abc", views: 200 },
     { _id: 6, subject: "Сырники", author: "jkl", views: 80 },
     { _id: 7, subject: "coffee and cream", author: "efg", views: 10 },
     { _id: 8, subject: "Cafe con Leche", author: "xyz", views: 10 }
] )
  1. query
db.articles.find( { $text: { $search: "coffee" } } )
  1. result
{ _id: 1, subject: 'coffee', author: 'xyz', views: 50 },
{ _id: 7, subject: 'coffee and cream', author: 'efg', views: 10 },
{ _id: 2, subject: 'Coffee Shopping', author: 'efg', views: 5 }

Source https://stackoverflow.com/questions/71258427

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install workplace-search-python

Supports Python 2.7 and Python 3.4+.

Support

We welcome contributors to the project. Before you begin, a couple notes...

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Clone
  • https://github.com/elastic/workplace-search-python.git

  • gh repo clone elastic/workplace-search-python

  • git@github.com:elastic/workplace-search-python.git

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