Semantica
Semantica is an open-source, graph native context and decision intelligence engine that gives AI agents structured knowledge, causal reasoning, and end‑to‑end provenance. It grounds outputs in a queryable graph and records explainable, auditable decisions for production and regulated environments.
Overview
Teams ingest enterprise sources, resolve entities, and unify knowledge as a live graph. At inference time, agents query the graph, retrieve verified context, apply rules, and write decisions with confidence and lineage. Outputs remain grounded, traceable, and auditable across sessions, pipelines, and deployments.
How Semantica Works
Semantica suits engineering teams building agentic systems, data platforms, or Retrieval‑Augmented Generation for regulated domains. Energy, finance, healthcare, climate, legal, and public‑sector groups can answer compliance queries with citations, trace model‑assisted decisions, and compare positions over time. It also fits startups needing auditable, multi‑agent context without committing to a single database.
- Unifies PDFs, databases, and APIs into a single, queryable context graph.
- Records every AI decision with inputs, outcomes, confidence, and explicit causal links.
- Grounds generation with hybrid GraphRAG that blends vector search and graph traversal.
- Supports RDF and property graphs with SPARQL and Cypher under one API.
- Provides rule engines, ontologies, and temporal queries with exportable W3C PROV‑O lineage.
Highlights
Who It’s For
Install via pip, initialize a ContextGraph, and begin ingesting sources with entity resolution and provenance tracking. Use the Python API for pipelines, or call the REST API and MCP server from IDE agents. Choose a backend—Neo4j, FalkorDB, or RDF triple stores—and switch later without code changes. Integrate FAISS, Pinecone, Weaviate, Qdrant, Milvus, or PgVector for hybrid retrieval. The Knowledge Explorer supports visual inspection, timeline scrubbing, and audit trails before deployment to your VPC or on‑prem.
Every answer should be traceable; Semantica makes the system’s data and reasoning first‑class.
Getting Started
Semantica’s edge is clarity: structured context, deterministic reasoning, and provable lineage across any agent framework. It is open, swappable, and auditable from day one—no proprietary formats or closed pipelines—making it a dependable foundation for enterprise‑grade, explainable AI.
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Semantica
Semantica is an open‑source project focused on graph‑native AI infrastructure. The team builds explainable context, decision provenance, and governance for production systems, prioritizing regulated industries and developer ergonomics. Community‑driven, MIT‑licensed, and designed for deployment on infrastructure you control.
Semantica is a glass‑box alternative to black‑box AI. It ingests documents, databases, and APIs, resolves entities, and builds a live context graph shared across agents and sessions. Decisions are first‑class objects with inputs, outcomes, confidence, and lineage. Provenance is W3C PROV‑O compliant, so every answer is citable and exportable. The engine supports rule‑based reasoning (forward chaining, Rete, Datalog), temporal queries, ontology management (OWL, SHACL), and hybrid retrieval that combines vector search with graph traversal. Polyglot storage lets teams swap between RDF triple stores and labeled property graphs such as Neo4j or FalkorDB behind one API. Run it in your VPC or on‑prem, integrate via Python, REST, or MCP, and keep full ownership of data and infrastructure.
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