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Showing 4 open source projects for "terminal"

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Data Recovery Python Clear Filters & Widen Search

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Context for your AI agents
Crawl websites, sync to vector databases, and power RAG applications. Pre-built integrations for LLM pipelines and AI assistants.

Build data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.

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1

Configuration Backup (ConfiBack)

Project for backing up network device configuration

Using this project you can make backup and track changes of configuration of network devices like switches, routers, etc.

1 Review

Downloads: 1 This Week

Last Update: 2023-06-29
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2

PySnapshot

PySnapshot is a backup program written in Python and inspired by rsnapshot. PySnapshot backs up directories to daily snapshots. Features: extensive error handling, email notification, verbose logging, very low maintenance, ease of use, reliability.

Downloads: 0 This Week

Last Update: 2016-04-04
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3

Backtory

Backtory is a slim backup/restore software for unix-like operating systems, designed for stand-alone internet servers. It features differential backups, remote storage using various protocols as well as encryption/signing of backup archives.

Downloads: 0 This Week

Last Update: 2013-05-01
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4

magicsearch

Search and restore files on broken filesystems

Search a data block for magic MIME identifiers and try to recover the found data using file type specific header information. Currently recovers audio and video files best, but also recognizes PDFs and other file types. New recipes for even more filetypes as well as contributors are welcome ! Logo: Derivative work of http://commons.wikimedia.org/wiki/File:Pied_Avocet_chick.jpg (CC-BY-SA)

Downloads: 0 This Week

Last Update: 2016-10-14
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Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.

BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.

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