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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.
x2svg is software to graphically lay out files like XML Schema, DTDs and Java property files as scalable vector graphics (SVG). Diagrams can be converted into PDF, PNG, TIF and EPS files directly from within x2svg. A simple GUI and ant integration exist.
LT4eL (Language Technology for e-Learning) develops a framework of multilingual language technology tools and semantic web techniques for improving the retrieval and the metadata annotation of learning material.
A real-time graph plotter. While your application is computing and logging results to a CSV file using the LiveGraph Writer API, the plotter lets you visualise and monitor the results live - by instantly plotting charts and graphs of the data.
This Java project creates a testing environment application to analyze an image at its low level features and suggest tags to clasify it using an ontology search based on the tags of similar images.
Manage what you buy and how you buy it with Order.co, so you have control over your time and money spent.
Simplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
This project tries to find geographical locations (formulated by GPS positions) for specific queries (eg 'art') in specific environments (eg 'Maastricht') by analyzing webpages.
TimeSleuth discovers temporal decision rules. It also judges the (a)causality of the rules. TimeSleuth can discover rules that involve time: {if (rainy_yesterday = true) then rainy_today = true}, or {if (rainy_tomorrow = true) then rainy_today = true}.
jDSM is a Java library for representing and analyzing Design Structure Matrices (DSM). It can be used to analyze any Java software with regards to modularity.
Premier is a global leader in financial construction ERP software.
Rated #1 Construction Accounting Software by Forbes Advisor in 2022 & 2023. Our modern SAAS solution is designed to meet the needs of General Contractors, Developers/Owners, Homebuilders & Specialty Contractors.
The aim of the project is to provide opensource collection of algorithms in the field of spectroscopy: data handling and processing, modeling and artificial intelligence tools.
This Java project intends to implement a set of functions allowing a user to manipulate classical propositional logic statements and reason about their properties and connections.
A set of applications that can generate and tabulate paper surveys. Includes simple graphical programs for the common user. Has interchangeable back-end components for the enthusiast.
UDA stands for Universal Descriptive Algebra. It consists of a Java package handling universal algebras and relational structures as description systems.
SYRAH si propone di far emergere e rappresentare i concetti espressi per mezzo di un linguaggio naturale. SYRAH aims to discover and represent concepts expressed in natural languages. NLP, lemma, lemmario, italiano, rete, semantica, clustering, semantic
Magstripper is a magnetic card reader and decoder that takes raw waveform information from a magnetic audio head (soldered directly to a mono audio jack) and processes it via a mic input. It also includes a multi-user door lock access control system.
KNeTS (Knowledge Elicitation Tools) is a survey tool to create multi-agent models based on local knowledge using pattern analysis to identify rules that are iteratively validated with the informant. The final output is a knowledge-based multi-agent model
ESSE is a flexible, efficient and easy to use search engine for data mining in environmental data archives. ESSE will help you find useful data even if you don't know exactly what you are looking for.
This is a suite of several software agents to provide a complete architecture of lexical base as proposed in Didier Schwab's PhD. thesis. It will be used for automatic translation, information retrieval and other natural language processing tasks.
The program provides Java interface (to C++ Lemmatizer via XML-RPC) in order to perform lemmatizing in Russian, English, and German (lemma is the canonical form of a lexeme in Natural Language Processing). RussianPOSTagger could work as a module of GATE.