Modular, versioned tools to extend Aevum's knowledge engine. Open-source, sandboxed, and production-ready for researchers and developers.
Advanced entity resolution, semantic parsing, and multi-document coherence analysis for academic texts.
Real-time relational mapping, graph traversal, and dynamic ontology construction for cross-disciplinary research.
140+ language tokenization, cross-lingual alignment, and translation-aware semantic indexing.
Source tracing, citation validation, trust scoring, and automated fact-checking pipelines.
High-dimensional semantic retrieval, dense clustering, and similarity ranking for unstructured knowledge.
Batch data extraction to PDF, Markdown, XML, CSV, and REST API endpoints with customizable schemas.
# Install via npm (Node.js/TypeScript) npm install @aevum/nlp-pipeline @aevum/verification # Or via pip (Python) pip install aevum-nlp aevum-verify
// Configuration example (config.json) { "extensions": { "nlp-pipeline": { "enabled": true, "model": "aevum-semantic-v3", "workers": 4 }, "verification": { "enabled": true, "strict_mode": true, "citation_threshold": 0.85 } } }
Extensions auto-register with the core runtime. Restart your local daemon or call aevum reload to apply changes.
Aevum's core extensions operate as isolated, event-driven modules. They communicate via a unified IPC bus, ensuring zero-downtime updates and safe sandboxed execution.