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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.
An attempt at offering machine learning and data mining algorithms at the finest grain we are able to, easy to combine together through Python scripting to glue together the Lego-like bricks.
DITA Open Toolkit plugin that creates an HTML QA error report
This DITA Open Toolkit plugin identifies errors in DITA tagging, element nesting, language standards, and common syntax errors, many of which are based on the Microsoft Manual of Style for Technical Publications. The plugin produces a .dita file including all violation data, which is then rendered in HTML and .csv formats. Quality assurance checks are highly customizable to fit project needs.
Nalasys is a natural language system that allows users to specify instructions to the computer in natural language. By defining words with intrinsic data the system recognizes, a user will be able to program a system using his own words.
For now the system can use several programmatic languages like SQL, Javascript, Groovy or JSP expression language. It also has a default language with no keywords where you can add words defined with objects in memory or from other languages.
Total Network Visibility for Network Engineers and IT Managers
Network monitoring and troubleshooting is hard. TotalView makes it easy.
This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
This is a python program that looks up possible words from a dictionary over 1,600 words. You type in letters that you have and the program will generate all possible words from the dictionary.
SAIM allows to interlink knowledge bases in the Semantic Web. It focuses on instance matching of very large knowledge bases available as SPARQL endpoints. SAIM uses machine learning techniques and is compatible with SILK.
Toolkit for civilian activists to cross-check lists of Knesset members (Israeli Parliament) present in the Knesset building and databases of their stands, helping on-site lobbyists work out who to talk to during session days.
MACOW is a formal and scalable mandatory access implementation suitable on open worlds such as the provided on Semantic Web, Autonomic Computing and Coaltions and Federations scenarios. It is able to access control on distributed systems.
Lintory is a Django based python application that aims to help keep track of software licenses, license requirements, hardware, MAC addresses, users and locations while supporting multiple OS, dual boot systems, and virtual machines.
A privacy-first API that predicts global consumer preferences
Qloo AI adds value to a wide range of Fortune 500 companies in the media, technology, CPG, hospitality, and automotive sectors.
Through our API, we provide contextualized personalization and insights based on a deep understanding of consumer behavior and more than 575 million people, places, and things.