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Showing 4 open source projects for "position"

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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

Symmetric Sprite Editor

Create symmetric sprites: browse, save to PC, or store online

This was a multi-user sprite creation tool.

Downloads: 0 This Week

Last Update: 2017-03-25
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2

Betting Forever

It's a plugin for Aseco (program for Trackmania Forever) ! It works on Aseco 2.x. The aim of this plugin is provide a bot who allow bet on his position. If you succeed, you win some credits

Downloads: 0 This Week

Last Update: 2013-03-25
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3

Paddock

Paddock, which was originally created for the Dutch Racing League, is management software for races and race leagues, either in games or in real life. It can be used to create overviews of race results.

Downloads: 0 This Week

Last Update: 2013-04-17
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4

Chessboard

Chessboard is a PHP script utilizing ImageMagick and chess-piece fonts to create chess board images on the fly and serve them via the web. A web-based position composer/editor is also included.

Downloads: 0 This Week

Last Update: 2013-03-11
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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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