Search Results for "desktop text search" - Page 6

Showing 5368 open source projects for "desktop text search"

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  • 1
    快速全文搜索/fast-full-text-search 1. 无索引 2. 全能搜索,支持压缩文件、docx、pdf、图片/视频meta等,及一切文本格式。 3. 支持多关键字、正则表达式搜索 4. 支持文件类型过滤,进一步提高搜索速度
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  • 2
    Dgraph

    Dgraph

    The Only Native GraphQL Database With A Graph Backend

    Dgraph is a horizontally scalable and distributed GraphQL database, the only native GraphQL database to have a graph backend. Dgraph is able to do things that other graph DBs can’t. It provides consistent replication, automatic data movement for shard balancing, distributed ACID transactions, as well as native support for full text search, regular expressions and geo search. If you have over 10 SQL tables interconnected via foreign keys, or sparse data that don’t fit neatly into SQL tables...
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  • 3
    Saladict

    Saladict

    Pop-up dictionary and page translator with multiple search modes

    All-in-one professional pop-up dictionary and page translator which supports multiple search modes, page translations, new word notebook and PDF selection searching. Saladict supports mixed use of multiple search modes. Whether it be single-click, double-click, pop-up icon, hovering or keyboard shortcuts, you name it. The combination of dictionaries is dynamically adjusted according to search text and Saladict profile. Although Saladict is built for looking up English words, it also supports...
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  • 4
    Elastiknn

    Elastiknn

    Elasticsearch plugin for nearest neighbor search

    Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity searches using exact and approximate algorithms. Methods like word2vec and convolutional neural nets can convert many data modalities (text, images, users, items, etc.) into numerical vectors, such that pairwise distance computations on the vectors correspond to semantic similarity of the original data. Elasticsearch is a ubiquitous search solution, but its support for vectors is limited. This plugin fills...
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  • 5
    OpenSearch

    OpenSearch

    Open source distributed and RESTful search engine

    OpenSearch is a distributed search and analytics engine based on Apache Lucene. After adding your data to OpenSearch, you can perform full-text searches on it with all of the features you might expect: search by field, search multiple indices, boost fields, rank results by score, sort results by field, and aggregate results. Unsurprisingly, people often use search engines like OpenSearch as the backend for a search application, think Wikipedia or an online store. It offers excellent performance...
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  • 6
    Apache Lucene

    Apache Lucene

    Apache Lucene open-source search software

    The Apache Lucene™ project develops open-source search software. The project releases a core search library, named Lucene™ core, as well as PyLucene, a Python binding for Lucene. Lucene Core is a Java library providing powerful indexing and search features, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities. The PyLucene sub-project provides Python bindings for Lucene Core. The Apache Software Foundation provides support for the Apache community of open...
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  • 7
    rem

    rem

    Open source approach to locally record and enable searching on Mac

    Instantly access every moment you've had on your Mac, from now on. 100% local. No network. Open-source. I think the idea of recording everything you see has the potential to change how we interact with our computers and believe it should be open source. Also, that means there is no tracking/analytics of any kind, which means I don't know if you're running into bugs when you do. So please report any / all you find.
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  • 8
    bleve

    bleve

    A modern text indexing library for go

    Import one package, build an index with three lines of code, query for documents with another three lines. Bleve includes general-purpose analyzers as well as pre-built text analyzers for the following languages, Danish, Dutch, English, Finnish, French, German, Hungarian, Italian, Norwegian, Persian, Portuguese, Romanian, Russian, Sorani, Spanish, Swedish, Thai, and Turkish. Support for aggregating facet information across search results. Supported facet types include Terms Facet, Numeric Range...
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  • 9
    Quickwit

    Quickwit

    Sub-second search & analytics engine on cloud storage

    Sub-second search & analytics engine on cloud storage. Quickwit is the fastest search engine on cloud storage. Quickwit has an Elasticsearch-compatible Ingest-API to make it easier to migrate your log shippers (Vector, Fluent Bit, Syslog, ...) to Quickwit. However, we only support ES aggregation DSL, the query DSL support is planned for Q2 2023. The core difference and advantage of Quickwit are its architecture built from the ground to search on cloud storage. We optimized IO paths, revamped...
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    Claims Processing solution for healthcare practitioners.

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    Speedy Claims became the top CMS-1500 Software by providing the best customer service imaginable to our thousands of clients all over America. Medical billing isn't the kind of thing most people get excited about - it is just a tedious task you have to do. But while it will never be a fun task, it doesn't have to be as difficult or time consumimg as it is now. With Speedy Claims CMS-1500 software you can get the job done quickly and easily, allowing you to focus on the things you love about your job, like helping patients. With a simple interface, powerful features to eliminate repetitive work, and unrivaled customer support, it's simply the best HCFA 1500 software available on the market. A powerful built-in error checking helps ensure your HCFA 1500 form is complete and correctly filled out, preventing CMS-1500 claims from being denied.
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  • 10
    PaddleNLP

    PaddleNLP

    Easy-to-use and powerful NLP library with Awesome model zoo

    PaddleNLP It is a natural language processing development library for flying paddles, with Easy-to-use text area API, Examples of applications for multiple scenarios, and High-performance distributed training Three major features, aimed at improving the modeling efficiency of the flying oar developer's text field, aiming to improve the developer's development efficiency in the text field, and provide rich examples of NLP applications. Provide rich industry-level pre-task capabilities Taskflow...
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  • 11
    DocArray

    DocArray

    The data structure for multimodal data

    DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc. It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer multimodal data with a Pythonic API. Door to multimodal world: super-expressive data structure for representing complicated/mixed/nested text, image, video, audio, 3D mesh data. The foundation data structure of Jina, CLIP-as-service, DALL·E Flow, DiscoArt etc. Data...
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  • 12
    gse

    gse

    Go efficient multilingual NLP and text segmentation

    Go efficient multilingual NLP and text segmentation; support English, Chinese, Japanese and others. Gse is implements jieba by golang, and try add NLP support and more feature. Support common, search engine, full mode, precise mode and HMM mode multiple word segmentation modes. Support user and embed dictionary, Part-of-speech/POS tagging, analyze segment info, stop and trim words. Support multilingual: English, Chinese, Japanese and others. Support Traditional Chinese. Support HMM cut text use...
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  • 13
    buku

    buku

    Personal mini-web in text

    ... and update bookmarks. Search bookmarks instantly with multiple search options, including regex and a deep scan mode (handy with URLs). It can look up broken links on Wayback Machine. There's an Easter Egg to revisit random bookmarks. There's no tracking, hidden history, obsolete records, usage analytics or homing. To get started right away, jump to the Quickstart section. buku has one of the best documentation around. The man page comes with examples.
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  • 14
    Vearch

    Vearch

    A distributed system for embedding-based vector retrieval

    ... with one click. Otherwise, you can easily customize your own image, video, or text feature extraction algorithm plugin. This GIF provides a clear demonstration of the project vearch usage and its internal structure. The use of vearch is mainly divided into three steps. Firstly, create DB and Space, then import your data, and finally, you can search on your own dataset.
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  • 15
    PublicCMS

    PublicCMS

    PublicCMS is an open source JAVACMS system

    ...-dimensional expansion mechanism, full-text search, custom field search, and all visible elements of the front-end site can be customized and maintained. Support full site static, SSI, partial static of dynamic pages, improve concurrent access ability and SEO friendliness of the website. Easily support tens of millions of data and tens of millions of PVs, and provide a lightweight solution with low consumption, high performance and high availability for massive data access.
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  • 16
    org-ql

    org-ql

    An Org-mode query language, including search commands and saved views

    This package provides a query language for Org files. It offers two syntax styles: Lisp-like sexps and search engine-like keywords. It includes three libraries: The org-ql library is flexible and may be used as a backend for other tools. The libraries org-ql-search and helm-org-ql (a separate package) provide interactive search commands and saved views. The package org-ql may be installed directly from MELPA or with other tools like Quelpa. After installation, you can use the commands without...
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  • 17
    Final Cut

    Final Cut

    A text-based widget toolkit

    Library for creating terminal applications with text-based widgets. FINAL CUT is a C++ class library and widget toolkit with full mouse support for creating a text-based user interface. The library supports the programmer to develop an application for the text console. It allows the simultaneous handling of multiple text windows on the screen. The structure of the Qt framework was originally the inspiration for the C++ class design of FINAL CUT. It provides common controls like dialog boxes...
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  • 18
    CLIP-as-service

    CLIP-as-service

    Embed images and sentences into fixed-length vectors

    CLIP-as-service is a low-latency high-scalability service for embedding images and text. It can be easily integrated as a microservice into neural search solutions. Serve CLIP models with TensorRT, ONNX runtime and PyTorch w/o JIT with 800QPS[*]. Non-blocking duplex streaming on requests and responses, designed for large data and long-running tasks. Horizontally scale up and down multiple CLIP models on single GPU, with automatic load balancing. Easy-to-use. No learning curve, minimalist design...
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  • 19
    Choices.js

    Choices.js

    A vanilla JS customizable select box/text input plugin

    Choices.js is a lightweight, configurable select box/text input plugin. Similar to Select2 and Selectize but without the jQuery dependency. Choices is compiled using Babel targeting browsers with more than 1% of global usage and expecting that features listed below are available or polyfilled in the browser. You may see exact list of target browsers by running npx browserslist within this repository folder. If you need to support a browser that does not have one of the features listed below, I...
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  • 20
    mp-html

    mp-html

    Small program rich text component, supports rendering and editing html

    A powerful applet-rich text component. Small program rich text component supports rendering and editing HTML and supports use on WeChat, QQ, Baidu, Alipay, Toutiao, and uni-app platforms. Displaying dynamic HTML rich text is a necessary requirement for many applications. The applet platform does not support dom operations, making this a problem. The built-in rich-text component supports few tags and blocks all events, making it difficult for practical application. Therefore...
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  • 21
    refinery

    refinery

    Open-source choice to scale, assess and maintain natural language data

    ... of refinery currently work on integrations to other labeling tools, such that you can easily switch between different choices. refinery is a multi-repository project, you can find all integrated services in the architecture below. The app builds on top of Hugging Face and spaCy to leverage pre-built language models for your NLP tasks, as well as qdrant for neural search.
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  • 22
    Jina

    Jina

    Build cross-modal and multimodal applications on the cloud

    Jina is a framework that empowers anyone to build cross-modal and multi-modal applications on the cloud. It uplifts a PoC into a production-ready service. Jina handles the infrastructure complexity, making advanced solution engineering and cloud-native technologies accessible to every developer. Build applications that deliver fresh insights from multiple data types such as text, image, audio, video, 3D mesh, PDF with Jina AI’s DocArray. Polyglot gateway that supports gRPC, Websockets, HTTP...
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  • 23
    Compose Rich Editor

    Compose Rich Editor

    A Rich text editor library for both Jetpack Compose

    A rich text editor library for both Jetpack Compose and Compose Multiplatform, fully customizable and supports the common rich text editor features.
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  • 24
    PostgresML

    PostgresML

    The GPU-powered AI application database

    PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization...
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  • 25
    Prime QA

    Prime QA

    State-of-the-art Multilingual Question Answering research

    PrimeQA is a public open source repository that enables researchers and developers to train state-of-the-art models for question answering (QA). By using PrimeQA, a researcher can replicate the experiments outlined in a paper published in the latest NLP conference while also enjoying the capability to download pre-trained models (from an online repository) and run them on their own custom data. PrimeQA is built on top of the Transformers toolkit and uses datasets and models that are directly...
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