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.