Semantica is an open-source Python framework for building context graphs and decision intelligence layers on top of AI agents and LLM applications. It provides structured context, causal reasoning, and full decision provenance, making AI explainable and traceable.

Yes. The core library is 100% free and open source under the MIT license. No feature gating, no usage limits, no hidden tiers.

How is Semantica different from LangChain or LlamaIndex?

LangChain and LlamaIndex focus on orchestration and retrieval. Semantica adds a structured knowledge layer — context graphs, causal decision tracking, and W3C PROV-O provenance — that integrates on top of any framework.

Which AI frameworks does Semantica support?

Semantica integrates with LangGraph, CrewAI, LlamaIndex, Claude Code, AutoGen, and any Python-based agent framework, along with 100+ LLM models via LiteLLM.

What is a context graph?

A context graph is a structured, queryable knowledge graph that stores entities, relationships, and decisions made by your AI — with temporal validity and full provenance. Unlike a vector store, it understands causal relationships.

Does Semantica require a vector database?

No. Semantica works standalone. When you want hybrid graph + semantic retrieval it integrates natively with FAISS, Pinecone, Weaviate, Qdrant, Milvus, and pgvector.

What is decision provenance?

Decision provenance means every action your AI takes is stored as a first-class object with its inputs, reasoning chain, and outcome — compliant with W3C PROV-O. You can always audit why the AI did what it did.

How do I get started?

Run pip install semantica, then follow the quickstart in the docs at docs.getsemantica.ai. The core graph is up and running in under 10 lines of Python.

About Semantica

Building the trust layer
AI systems are missing

Our mission

Most AI agents run on embeddings, not meaning: similarity scores with no structure and no way to explain why a result came back. Semantica is the semantic/context layer underneath your LLM, vector store, and agent framework: an engine where every fact traces to its source and every decision is a first-class, auditable object.

Built for trust

Trust can't be taken on faith; it has to be inspectable. Semantica is built so every fact, rule, and decision can be audited end to end, with deployment models that fit regulated environments.

Founder

Kaif Ahmad

Founder, Semantica

Get in touch

Building on Semantica, considering it for a regulated deployment, or just want to talk context and semantics? Reach us on Discord, open a discussion on GitHub, or email kaif@getsemantica.ai.

Building the trust layerAI systems are missing

Our mission

Built for trust

Founder

Get in touch

Building the trust layer
AI systems are missing