returned for Tags:"fuzzy-search"
Exposes all the Elasticsearch API endpoints but leaves you in control of building the request and response bodies.
Comes with built in cluster failover/connection pooling support.
Strongly typed interface to Elasticsearch. Fluent and classic object initializer mappings of requests and
responses. Uses and exposes Elasticsearch.Net.
The fastest Levenshtein on NuGet. Supports .NET Framework and .NET Core (.NET Standard 1.0).
Levenshtein calculates the shortest possible distance between two strings. Producing a count of the number of insertions, deletions and substitutions to make one string into another.
Makes it easy to develop a .NET application that uses Azure Cognitive Search.
Use this package if you're developing a .NET application using Azure Cognitive Search, and you only need to query or update documents in your indexes. If you also need to create or update indexes, synonym maps, or other service-level resources, use the Microsoft.Azure.Search package instead.
Common types needed by the Azure Cognitive Search .NET libraries. This is not the package you are looking for; It is only meant to be used as a dependency.
Use this package if you're developing automation in .NET to manage Azure Cognitive Search indexes, synonym maps, indexers, data sources, or other service-level resources. If you only need to query or update documents in your indexes, use the Microsoft.Azure.Search.Data package instead. If you need...
Provides search service accounts management (Fluent) capabilities for Microsoft Azure.
The library is an easy to use component that implements fuzzy inference system (both, Mamdani and Sugeno methods supported).
Examine is a wrapper for getting a Lucene index up and running for any type of data and comes with an API to search it. You can either use the Fluent API that the library comes with or use raw Lucene query syntax. The indexing is configurable and will allow both synchronous and asynchronous indexing...
Lucene.Net is a full-text search engine library capable of advanced text analysis, indexing, and searching. It can be used to easily add search capabilities to applications. Lucene.Net is a C# port of the popular Java Lucene search engine framework from The Apache Software Foundation, targeted at...
NEST uses an internal serializer. This package enables serialization for your documents using your own custom Json.NET serializer
Enables request signing necessary for using the AWS Elasticsearch service.
An NLog target that utilises the elasticsearch low level client.
Lucene.Net Contrib adds a set of advanced functionalites to Lucene.net, like faceted search, spatial queries, highlighters, spell check and more.
A Collection of Fuzzy String Algorithms for .NET. Partially derived from multiple open sources. See individual algorithm classes for attributions.
39,943 total downloads
Porting FuzzyString library to .NET Standard
TextMatch is a library for searching inside texts using Lucene query expressions. Supports all types of Lucene query expressions - boolean, wildcard, fuzzy. Options are available for tweaking tokenization, such as case-sensitivity and word stemming.
A Collection of Fuzzy String Algorithms for .NET Classic and .NET Core.
Spelling correction & Fuzzy search: 1 million times faster through Symmetric Delete spelling correction algorithm