Context Graph &Decision IntelligenceEngine for
The open-source engine that gives AI systems structured memory, causal reasoning, and full decision provenance — so your AI is explainable, traceable, and trustworthy by design.
Everything You Need for
Trustworthy AI Systems
Semantica provides the complete toolkit for building AI systems that are explainable, traceable, and production-ready. From context graphs to reasoning engines, every component is designed for transparency.
Context Graphs
The Foundation of Trustworthy AI
Build a structured, queryable graph of entities, relationships, and decisions. Causal, persistent, and fully traceable with temporal validity windows.
Decision Intelligence
Track Every Choice, Trace Every Outcome
Record decisions as first-class objects with add_decision() and record_decision(). Find precedents, analyze impact, and maintain causal chains across your entire AI system.
Full Provenance
W3C PROV-O Compliant Lineage
Every fact links back to its source with ProvenanceTracker. Algorithm provenance, graph builder provenance, and audit trails for compliance. No more mystery answers.
Reasoning Engines
From Rules to Explanations
Forward chaining with IF/THEN rules, Rete networks for high-throughput, deductive and abductive reasoning, and SPARQL for RDF. Every inference path is explainable.
Ontology Management
Schema-First Knowledge Engineering
Auto-generate OWL ontologies from your data, import existing schemas (OWL, RDF, Turtle, JSON-LD), validate with HermiT/Pellet, and generate SHACL shapes automatically.
Knowledge Explorer
Visualize, Navigate, Understand
Real-time visual interface powered by Sigma.js. Timeline scrubbing for temporal data, decision audit trails, entity resolution viewer, and interactive graph navigation.
Semantic Extraction
From Raw Text to Knowledge
Named entity recognition, relation extraction, LLM-typed extraction with confidence scores, and advanced deduplication strategies. Transform unstructured data into structured knowledge.
Vector Store Integration
Semantic & Hybrid Search
Native support for FAISS, Pinecone, Weaviate, Qdrant, Milvus, and PgVector. Combine vector similarity with graph traversal for truly hybrid retrieval.
Temporal Intelligence
Point-in-Time Reasoning
Temporal GraphRAG for point-in-time retrieval, Allen Interval Algebra (13 relations), bi-temporal provenance, and TemporalNormalizer for intelligent date parsing.
Pipeline Builder
Production-Ready Orchestration
Stage chaining with parallel workers, validation gates, and failure handling with configurable retry policies. Build complex knowledge pipelines that scale.
Quality & Deduplication
Clean Data, Reliable Results
Conflict detection algorithms, entity resolution with blocking strategies, and pipeline validation built in. Ensure your knowledge graph stays accurate and consistent.
Graph Algorithms
Advanced Network Analysis
PageRank, betweenness centrality, Louvain community detection, Node2Vec embeddings via NodeEmbedder, cosine similarity, and link prediction for network insights.
Deep Dive Into
Every Feature
A comprehensive toolkit for building explainable, traceable AI systems with first-class support for knowledge graphs, decision intelligence, and temporal reasoning.
Context & Decision Intelligence
Track decisions as first-class objects with full causal lineage and precedent search
Knowledge Graph Engine
Full-featured graph processing with embeddings, community detection, and link prediction
Reasoning Engines
Five reasoning engines with explainable inference paths for every conclusion
Temporal Intelligence
Point-in-time queries, Allen Interval Algebra, and bi-temporal provenance tracking
Provenance & Auditability
W3C PROV-O compliant lineage with full audit trails for compliance
Ontology & Schema Management
Auto-generate OWL ontologies, validate with SHACL, and manage vocabularies
from semantica import ContextGraph, DecisionTracker, ReasoningEngine
# Initialize context graph with temporal support
graph = ContextGraph(temporal=True)
# Add entities with rich metadata
graph.add_entity(
"user_query",
type="event",
metadata={"timestamp": "2024-01-15T10:30:00Z", "source": "api"}
)
graph.add_relationship("user_query", "triggers", "decision_01")
# Track decisions with full provenance
tracker = DecisionTracker(graph)
decision = tracker.record_decision(
decision_id="decision_01",
outcome="approve_request",
confidence=0.95,
reasoning="Based on historical precedents and policy compliance"
)
# Run reasoning engine with explainable outputs
engine = ReasoningEngine(graph)
explanations = engine.explain_decision("decision_01")
# Find similar past decisions for precedent analysis
precedents = tracker.find_similar_decisions(
context={"type": "approval", "risk_level": "low"},
top_k=5
)Works With
Every AI Tool
Native plugins, MCP server, and REST API — integrate Semantica with your existing workflow in minutes. No configuration required.
Native Plugin Bundles
Full integration with 17 skills, 3 agents, and custom hooks. Zero-configuration setup.
17
skills
3
agents
MCP Server + Plugin
Model Context Protocol server with automatic tool connection for AI IDEs.
12
tools
3
resources
MCP Server Only
Standalone MCP server for desktop applications and custom integrations.
12
tools
3
resources
REST API
Full-featured REST API with 109 endpoints, FastAPI backend, running on port 8000.
109
endpoints
8000
port
Agentic Frameworks
Native integrations with leading AI agent platforms
Graph Database Support
Production-ready connectors for enterprise graph databases
Vector Store Backends
Semantic and hybrid search with your preferred backend
Start Free,
Scale When Ready
Our open source core is free forever. Upgrade to Pro or Enterprise when you need advanced features, team collaboration, or dedicated support.
Free Forever
MIT LicensedOpen Source
The complete context graph engine for developers. Full-featured, MIT licensed, and community-driven. Perfect for startups, research, and learning.
- Full context graph engine
- Decision tracking & causal chains
- All 5 reasoning engines
- Semantic extraction pipeline
- Knowledge Explorer UI
- 6 vector store integrations
- SPARQL & Cypher queries
- Temporal intelligence
- Community Discord support
- MIT License
For Growing Teams
Pro
Everything in Open Source plus advanced analytics, team collaboration, and priority support. Built for teams shipping production AI applications.
<4hrs
Avg Response
99.9%
Uptime
- Everything in Open Source
- Advanced analytics dashboard
- Team collaboration (5 seats)
- Custom ontology templates
- SSO / SAML authentication
- Audit log exports (90 days)
- Priority email support
- Private Slack channel
- SLA guarantee (99.9%)
- Quarterly business reviews
For Large Organizations
Custom BuildEnterprise
Dedicated infrastructure, compliance packages, and white-glove onboarding for organizations that need security, scale, and custom solutions.
50+
Enterprise Users
SOC2
Compliance
- Everything in Pro
- Dedicated infrastructure
- Unlimited seats
- On-premise deployment option
- HIPAA, SOC2, GDPR compliance
- Custom integrations & APIs
- Dedicated success manager
- 24/7 priority support
- Custom SLA (up to 99.99%)
- Source code access
Need a custom domain-specific solution?
Whether it's Open Source customization or a full Enterprise build — let's talk.
kaifahmad087@gmail.comReady to Build
Trustworthy AI?
Transform your AI systems with context graphs, decision intelligence, and full provenance tracking. Start with our open source core — it's free forever with MIT license.
pip install semantica