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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.
Framework for storing and editing Forestry-related XML data, with a specialised graphical interface for each object type. Plug-in API for adding functionality. Coded in Java, uses WebStart for distribution, swing GUI, ~100k lines of code.
Java JNDI 1.1 naming context. JNDI is not just for J2EE, with this package you can use it with any Java application. This context resides completely in memory, is configurable from xml, and capable of storing any Java object. Requires java 1.4 or higher.
Ever wanted to create notes for pages on the web and be able to share them? This framework allows to create annotations to XML and HTML documents. Annotations are independent of presentation and can be traced back even if part of the document changed.
The Jorne project develops software and open standards for linking Lojban text with WWW and Semantic Web metadata (e.g. RDF/N3, RSS, XML). Lojban is an artificial spoken and written language based on predicate logic.
Turn traffic into pipeline and prospects into customers
For account executives and sales engineers looking for a solution to manage their insights and sales data
Docket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
TM4J is a topic map engine implemented entirely in Java. Topic maps are a standard paradigm for the interchange of knowledge structures. This project aims to produce a complete suite of tools for creating, processing and publishing topic map information.
Easily produce custom XML from Java code with validity checking and namespace support. Character stream and SAX event outputs are supported now. More can be added via a plug-in interface.
JOX is a set of Java libraries that make it easy to transfer data between XML documents and Java beans. You can think of JOX as a special form of Java Object Serialization, using XML as the serialization format.
DOMinator is an XML (de)serialization package for Java objects. The resulting XML files are self-describing and self contained. i.e. no external schemas/definition files required. Extensibility is provided through the use of custom class handlers.
Yeastar: Business Phone System and Unified Communications
Go beyond just a PBX with all communications integrated as one.
User-friendly, optimized, and scalable, the Yeastar P-Series Phone System redefines business connectivity by bringing together calling, meetings, omnichannel messaging, and integrations in one simple platform—removing the limitations of distance, platforms, and systems.
Metalised XML allows the creation of Java objects from XML at run-time, but unlike other similar processes this maps directly to the required object. For example load an XML order straight into the correct order classes.
GML4J was an experimental (i.e. hacked together quickly) Java API for work with the Geography Markup Language (GML). There has been no development since 2001/2. See https://sourceforge.net/projects/gascom/ for an API with a similar purpose.
XeriL is a java library that allows to turn a java object into an xml document and vice versa (DTD depends on the object). A powerful concept of mappers (extensible) can tailor the result to your needs. Very useful for configuration files.
An alternative to Java's Object Serialization Model using a XML format
that is flexible, and parsable and can easily be used to pass data to other languages, and applications, as well as for debugging output.
The schema unit testing project allows for easy unit testing of xml schema data requirements. It leverages junit and xml-unit libraries to provide a regression testing framework for xml schemas.
A set of Java classes for handling KML. Also an application, based on the LIB of the same name that provides limited KML tasks such as merging, cropping.
Will eventually support some nice interactions with google maps.
Example Code Manager is an Eclipse-Plugin for managing sample code and sample data from repositories around the world. Mainly subversion repositories, but support for flat file or CVS repositories are planned.
Gulfstream is a Java XML serialization/deserialization framework capable of read and write Java primitive types, arrays, collections, JavaBeans and classes marked with special annotations.
xmlandbean is a java library based on annotation who can read and inject XML datas into objects. Create the java objects, define (with annotations) for each properties how the system retrieve XML informations. Then, at runtime, xmlandbean populate them.
XML Processor is a Java library for working with XML snippets. XML documents can be generated according to an XSD. Support for interaction with DOM, SAX and Java Beans is included.