About this project
Semantica is a developer-first knowledge infrastructure that enables the creation of Context Graphs and Knowledge Graphs (KG) to replace or complement simple vector-based RAG. It is specifically designed for high-stakes, regulated domains (finance, healthcare, legal) where explainability and auditability are critical.
Key capabilities include:
- Decision Intelligence: Treats AI decisions as first-class graph nodes with causal linking, allowing users to trace decision chains and analyze impacts.
- Deterministic Reasoning: Implements forward chaining, Rete networks, Datalog, and SPARQL for explainable reasoning paths without relying on LLM black boxes.
- AI Governance: Supports W3C standards including PROV-O for provenance, SHACL for constraints, OWL for ontology generation, and SKOS for vocabulary management.
- Polyglot Storage: Supports both RDF triple stores (Oxigraph, Blazegraph, Apache Jena) and Labeled Property Graphs (Neo4j, FalkorDB, AWS Neptune), alongside various vector stores.
- Enterprise Integration: Native connectors for Databricks (Unity Catalog), Snowflake, and SAP OData.
- Knowledge Pipeline: A full end-to-end pipeline covering ingestion, entity-aware chunking, NER/relation extraction, conflict detection, and semantic deduplication.
- Ecosystem Support: Integrations with Agno, CrewAI, LangChain, and a built-in MCP server.
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