semantica Takes #1 on GitHub Trending Overall and #1 Python With +967 Stars in a Day — a Knowledge Graph Layer That Builds Graphs Without an LLM
semantica-agi/semantica jumped 967 stars today to 3,677, topping both the overall and Python daily trending boards. The MIT-licensed Python library (`pip install semantica`, v0.6.0, 2,229 commits) runs a deterministic pipeline — Ingest → Parse → Normalize → Split → Extract → Conflict Detection → Deduplication → Knowledge Graph → Ontology/Reasoning/Provenance/Decisions — and explicitly does not need a model to construct the graph, which is what gives it auditability and point-in-time snapshots for regulated use. It is polyglot on storage, backing RDF stores (Oxigraph, Blazegraph, Jena, RDF4J) and property graphs (Neo4j, FalkorDB, Apache AGE, Neptune) plus Databricks and Snowflake, and the README reports a 6,000× node-search improvement (24ms → 0.004ms) on a 118,000-node production graph, 6.98× faster semantic dedup, and 63.6% faster candidate generation.
↳ Follow the thread