Search Results for "uncensored search engine"
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Showing 19 open source projects for "uncensored search engine"
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All-in-One Inspection SoftwareOptimize Frontline Operations: Elevate Equipment Uptime, Operational Excellence, and Safety with Connected Teams and Data, Including Issue Capture and Corrective Action.
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MATRIX is a world-class, award-winning learning management system (LMS) for businesses.The platform is known for delivering a great user experience, while incorporating all the essential tools companies need to support efficient training and learning.
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Weaviate
Weaviate is a cloud-native, modular, real-time vector search engine
Weaviate in a nutshell: Weaviate is a vector search engine and vector database. Weaviate uses machine learning to vectorize and store data, and to find answers to natural language queries. With Weaviate you can also bring your custom ML models to production scale. Weaviate in detail: Weaviate is a low-latency vector search engine with out-of-the-box support for different media types (text, images, etc.). -
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uncover
Discover exposed internet hosts using multiple search engine APIs
Uncover is an open source reconnaissance tool designed to quickly discover exposed hosts on the internet by querying multiple search engine APIs through a unified interface. It acts as a Go-based wrapper around well-known internet intelligence platforms, allowing users to gather information about publicly accessible systems from a single command-line tool. By integrating with services such as Shodan, Censys, FOFA, ZoomEye, and others, the tool enables security professionals to efficiently search for internet-facing assets and services. ... -
3
Zinc Search Engine
ZincSearch. A lightweight alternative to elasticsearch
Zinc is a search engine that does full text indexing. It is a lightweight alternative to Elasticsearch and runs using a fraction of the resources. It uses bluge as the underlying indexing library. It is very simple and easy to operate as opposed to Elasticsearch which requires a couple dozen knobs to understand and tune which you can get up and running in 2 minutes. -
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Gorse Recommender System Engine
An open source recommender system service written in Go
An open-source recommender system service written in Go. Recommend items from Popular, latest, user-based, item-based and collaborative filtering. Search the best recommendation model automatically in the background. Support horizontal scaling in the recommendation stage after single node training. Support Redis, MySQL, Postgres, MongoDB, and ClickHouse as its storage backend. Expose RESTful APIs for data CRUD and recommendation requests. Analyze online recommendation performance from... -
Track time for payroll, billing and productivityBecause time is money, and we understand how challenging it can be to keep track of employee hours. The constant reminder to log timesheets so your business can increase billables, run an accurate payroll and remove the guesswork from project estimates – we get it.
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5
Vald
Vald. A Highly Scalable Distributed Vector Search Engine
Vald is a highly scalable distributed fast approximate nearest neighbor dense vector search engine. Vald is designed and implemented based on the Cloud-Native architecture. It uses the fastest ANN Algorithm NGT to search for neighbors. Vald has automatic vector indexing and index backup, and horizontal scaling which is made for searching from billions of feature vector data. Vald is easy to use, feature-rich and highly customizable as you needed. -
6
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 Viterbi algorithm. Support NLP by TensorFlow (in work). ... -
7
LLocalSearch
LLocalSearch is a completely locally running search aggregator
LLocalSearch is an open-source search engine framework designed to run entirely on local infrastructure using large language model agents to gather and synthesize information from the web. The system allows users to submit natural language questions, after which a chain of LLM-driven agents recursively searches for relevant information and compiles a response. Unlike many AI search tools, LLocalSearch operates without requiring external cloud APIs or proprietary services, making it suitable for privacy-focused or offline environments. ... -
8
rqlite
The lightweight, distributed relational database built on SQLite
rqlite is an easy-to-use, lightweight, distributed relational database, which uses SQLite as its storage engine. rqlite is simple to deploy, operating it is very straightforward, and its clustering capabilities provide you with fault-tolerance and high availability. rqlite is available for Linux, macOS, and Microsoft Windows. rqlite gives you the functionality of a rock solid, fault-tolerant, replicated relational database, but with very easy installation, deployment, and operation. With it... -
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CyberStrikeAI
CyberStrikeAI is an AI-native security testing platform built in Go
...Through comprehensive lifecycle management, results are tracked, aggregated, and visualized, with support for versioned persistence, search, and risk severity scoring. -
JS7 JobScheduler is an open source workload automation solution.JS7 JobScheduler is an open source workload automation solution. It is used to run executable files, shell scripts etc. and database procedures.
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10
Dozzle
Realtime log viewer for containers. Supports Docker, Swarm and K8s
...Instead of indexing or storing logs, it connects to your container runtime and streams live output so you can diagnose issues as they happen. The interface includes practical quality-of-life features like fuzzy searching for containers, regex log search, split-screen viewing for multiple logs, and live stats such as CPU and memory usage. It supports more advanced analysis through an in-browser SQL query engine for querying logs, which helps when you need structured filtering without exporting data elsewhere. Dozzle also supports multi-user authentication and can integrate with proxy-forward authorization setups for deployments behind gateways. ... -
11
jwt-go
Go of JSON Web Tokens
A go (or 'golang' for search engine friendliness) implementation of JSON Web Tokens. Our support of Go versions is aligned with Go's version release policy. So we will support a major version of Go until there are two newer major releases. We no longer support building jwt-go with unsupported Go versions, as these contain security vulnerabilities that will not be fixed. -
12
go-dork
Fast Go-based CLI scanner for running automated search engine dorks
go-dork is an open source command-line tool designed to automate search engine dorking and reconnaissance tasks. Written in the Go programming language, it focuses on speed and efficiency when executing advanced search queries across multiple search engines. It allows users to run specialized queries, often referred to as “dorks,” to discover publicly exposed data, misconfigurations, or potentially vulnerable resources. -
13
alvd
alvd = A Lightweight Vald. A lightweight distributed vector search
A lightweight distributed vector search engine based on Vald codebase. Vald is an awesome highly scalable distributed vector search engine works on Kubernetes. It has great features such as file-based backup, and metrics-based ordering of Agents. Also, Vald is highly configurable using YAML files. It works without Kubernetes, single binary (less than 30MB), easy to run (can be configured by command-line options), and consists of Agent and Server. alvd has almost the same features as Vald's gateway-lb + discoverer and agent-ngt. alvd depends on Vald codebase, the files came from Vald (such as internal, pkg/vald. ... -
14
gocrawl
Polite concurrent web crawler library for Go with flexible hooks
...Developers have full control over the crawling workflow, including which URLs are visited, inspected, and processed during execution. gocrawl integrates with HTML parsing tools so responses can be inspected and queried in a structured way while crawling. Instead of implementing a full search indexing pipeline, the library provides the core crawling engine and extension hooks. -
15
RadonDB
RadonDB is an open source, cloud-native MySQL database
RadonDB is a cloud-native database based on MySQL, and architected in fully distributed cluster that enable unlimited scalability (scale-out), capacity and performance. It supported distributed transaction that ensure high data consistency, and leveraged MySQL as storage engine for trusted data reliability. RadonDB is compatible with MySQL protocol, and sup-porting automatic table sharding as well as batch of automation feature for simplifying the maintenance and operation workflow. RadonDB... -
16
Lens
Lens is an opt-in search engine and data collection tool
Lens is an opt-in search engine and data collection tool to aid content discovery of the distributed web. It exposes a simple, minimal API for intelligently indexing and querying content on IPFS. Initially integrated with Temporal, Lens will allow users to optionally have the data they upload be searched and indexed and be awarded with RTC for participating in the data collection process. -
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Riot search
Go Open Source, Distributed, Simple and efficient Search Engine
Go Open Source, Distributed, Simple and efficient full text search engine. Efficient indexing and search (1M blog 500M data 28 seconds index finished, 1.65 ms search response time, 19K search QPS). Support for logical search. Support Chinese word segmentation (use gse word segmentation package concurrent word, speed 27MB / s). Support the calculation of the keyword in the text close to the distance（token proximity). -
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DHT
BitTorrent DHT Protocol && DHT Spider.
DHT implements the bittorrent DHT protocol in Go. It contains two modes, the standard mode, and the crawling mode. The standard mode follows the BEPs, and you can use it as a standard dht server. The crawling mode aims to crawl as much metadata info as possible. It doesn't follow the standard BEPs protocol. With the crawling mode, you can build another BTDigg. The default crawl mode configuration costs about 300M RAM. Set MaxNodes and BlackListMaxSize to fit yourself. DHT aims to implement... -
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Wukong
Highly customizable full-text search engine
Efficient indexing and searching (1M Weibo 500M data is indexed in 28 seconds, search response time is 1.65 milliseconds, and search QPS is 19K). Support Chinese word segmentation (concurrent word segmentation using the sego word segmentation package, speed 27MB/sec). Support to calculate the proximity distance of keywords in the text (token proximity). When a request to add a document to the index comes in, the main coroutine will send the text to be segmented to a word segmentation...
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