Semantica: Open-source semantic layers, knowledge graphs, and GraphRAG

1 comments

• kaifahmad1 9 hours ago

  Hi HN,

  I’m sharing Semantica, an open-source framework for building knowledge-driven RAG systems.

  Most RAG pipelines rely on vector similarity over text chunks. This works well for simple retrieval, but breaks down when systems need:

  explicit relationships

  multi-hop reasoning

  global context

  explainability

  Semantica takes an ontology-first approach:

  Raw data is transformed into entities and relationships

  Knowledge is stored as a knowledge graph

  Retrieval combines graph traversal and vector search

  LLMs operate on structured knowledge, not just text

  The goal is to make RAG systems more reliable and traceable, especially for domains like healthcare, enterprise search, and research.

  Semantica includes:

  Semantic layers

  Knowledge engineering pipelines

  RDF/OWL ontology ingestion

  Knowledge graph construction

  GraphRAG-style retrieval

  GitHub: https://github.com/Hawksight-AI/semantica

  The project recently crossed ~300 stars.

  I’d appreciate feedback from people working on RAG, IR, or knowledge graphs.

  Thanks.