🧠Semantica is an open-source framework for building semantic layers, context graphs, and decision intelligence systems from unstructured data. It enables AI engineers to transform documents and raw text into structured knowledge graphs with provenance tracking, reasoning engines, and explainable decision pipelines. Semantica works alongside LangChain, LlamaIndex, CrewAI, and other AI frameworks to add memory, reasoning, and traceability to AI agents.

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Hey Product Hunt 👋 I'm Kaif, one of the creators of **Semantica**. While building AI systems we kept running into the same problems: • AI agents store embeddings but **not meaning** • Decisions are made but **not tracked** • Outputs cannot be **traced back to sources** • Reasoning is often **a black box** So we built **Semantica** — an open-source framework that adds a **semantic intelligence layer** on top of AI stacks. With Semantica you can: 🧠 Build context graphs from documents and data 📜 Track every AI decision with causal chains 🔎 Add provenance and reasoning paths ⚙️ Combine knowledge graphs, vector search, and rule engines It works alongside tools like LangChain, LlamaIndex, CrewAI, and any LLM provider. Would love feedback from the community and ideas on where this could go next 🙌

Framer — Launch websites with enterprise needs at startup speeds.

Launch websites with enterprise needs at startup speeds.

Semantica

Context graphs and decision intelligence for AI

Context graphs and decision intelligence for AI