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Automate contact and company data extraction
Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.
Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
Video-based AI memory library. Store millions of text chunks in MP4
Memvid encodes text chunks as QR codes within MP4 frames to build a portable “video memory” for AI systems. This innovative approach uses standard video containers and offers millisecond-level semantic search across large corpora with dramatically less storage than vector DBs. It's self-contained—no DB needed—and supports features like PDF indexing, chat integration, and cloud dashboards.
Tuples (triples) for TRAK architecture viewpoints and views
The definition of the metamodel for TRAK (defines allowed AD elements and relationships i.e. tuples/ triples for the TRAK viewpoints and views). TRAK is a general systems-thinkers'/system engineering enterprise architecture framework. It is simple, user-friendly, pragmatic and not limited to IT. 100% triple-centric and semantically-sound. Forms basis for RDF + OWL ontology description - see https://trakmetamodel.sourceforge.io/vocab/TRAK_metamodel.html. Each TRAK metamodel element now has its own web page - see https://trakmetamodel.sourceforge.io/metamodel/index.html
This library provides a thin abstraction layer over the Redland librdf library.
It provides a simple to use C++ interface for RDF data.
This is a component of the SASSY project.
Please note that this code is at the prototyping phase. New features will be added as they are identified as a requirement for other SASSY projects. If you think that this software would be useful in your project, but need additional features please raise a ticket describing your requirement.
dotNetRDF is a .Net Class Library for working with RDF and SPARQL programatically built with C# 3 for the .Net Framework 3.5/4.0/Silverlight 4 and WIndows Phone 7. It provides a simple object model for representing RDF, SPARQL Queries and Updates and understands all common RDF and SPARQL syntaxes.
Extensive documentation is available on the website and support is available via the mailing lists.
Atera all-in-one platform IT management software with AI agents
Ideal for internal IT departments or managed service providers (MSPs)
Atera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
A basic parser and a set of simple utilities to parse N-Triples data.
N-Triples provides a simple format for representation of Semantic Web/W3C RDF semantic data. CL-NTRIPLES provides a simple and easy to use parser for Common Lisp applications.
Check the project Wiki (see link above) for additional documentation.
RDFConvert is a simple command-line tool for converting RDF file betweeen different syntax formats. It is based on the OpenRDF Rio parser toolkit, and currently supports RDF/XML, Trig, Trix, Turtle, N3, N-Triples, RDF/JSON, JSON-LD, Sesame Binary RDF and N-Quads.