<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> Semantica is an open-source framework designed to bridge the "semantic gap" between raw, unstructured data and the structured knowledge required by AI systems. It transforms chaotic data into AI-ready knowledge graphs, empowering applications like Knowledge Graph-Powered RAG (GraphRAG), AI agents, and multi-agent systems. This enables developers and organizations to build more intelligent, context-aware, and reliable AI applications by providing a unified semantic layer.

How It Works

Semantica operates through a three-layer architecture: universal data ingestion, a core semantic intelligence engine, and an output layer producing knowledge graphs and embeddings. Its key differentiator is the focus on understanding semantic relationships across all content and automatically generating knowledge graphs and ontologies, rather than processing data as isolated documents. This approach facilitates automated semantic modeling, entity resolution, and production-grade quality assurance, creating a clean single source of truth.

Quick Start & Requirements

• Primary install / run command: pip install semantica (or pip install semantica[all] for optional dependencies).
• Non-default prerequisites and dependencies: Python 3.8+ (3.9+ recommended).
• Links: Discord (https://discord.gg/pMHguUzG), GitHub Discussions.

Highlighted Details

• GraphRAG Engine: Achieves 91% accuracy (a 30% improvement) through hybrid vector and graph retrieval, supporting multi-hop reasoning.
• Universal Data Ingestion: Handles diverse formats including PDFs, DOCX, HTML, JSON, CSV, databases, APIs, and streams within a unified pipeline.
• Automated Ontology Generation: Employs a 6-stage LLM pipeline to generate validated OWL ontologies, eliminating manual schema definition.
• LLM Providers: Offers a unified interface to over 100 LLMs via LiteLLM, supporting providers like Groq, OpenAI, and HuggingFace.
• Efficient Embeddings: Utilizes FastEmbed by default for high-performance, local embedding generation.

Maintenance & Community

Semantica is described as community-driven, with support and Q&A available through Discord and GitHub Discussions. The project is actively developed, with a roadmap outlining planned features for Q1 and Q2 2026.

Licensing & Compatibility

The project is licensed under the MIT License, which is permissive and generally suitable for commercial use and integration into closed-source applications.

Limitations & Caveats

The project roadmap indicates that several advanced features, including a dedicated Quality Assurance module, enhanced multi-language support, evaluation frameworks, and real-time streaming improvements, are still under development and slated for Q1/Q2 2026. The current version is 0.1.1, suggesting it is in an early stage of its lifecycle.