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Refactor Modules section in README

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Reorganized and reformatted the Modules section in the README to improve clarity and consistency.
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Mohd Kaif
2026-04-08 14:17:14 +05:30
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README.md
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@@ -168,35 +168,7 @@ Everything you need to reason about *when* — not just *what*.
### 📚 SKOS Vocabulary Management
Build and query controlled vocabularies inside your knowledge graph.
## Modules
| Module | What it provides |
|---|---|
| `semantica.context` | Context graphs, agent memory, decision tracking, causal analysis, precedent search, policy engine |
| `semantica.kg` | Knowledge graph construction, graph algorithms, centrality, community detection, embeddings, link prediction, provenance |
| `semantica.semantic_extract` | NER, relation extraction, event extraction, coreference, triplet generation, LLM-enhanced extraction |
| `semantica.reasoning` | Forward chaining, Rete network, deductive, abductive, SPARQL reasoning, explanation generation |
| `semantica.vector_store` | FAISS, Pinecone, Weaviate, Qdrant, Milvus, PgVector, in-memory; hybrid & filtered search |
| `semantica.export` | RDF (Turtle/JSON-LD/N-Triples/XML), Parquet, ArangoDB AQL, CSV, YAML, OWL, graph formats |
| `semantica.ingest` | Files (PDF, DOCX, CSV, HTML), web crawl, feeds, databases, Snowflake, MCP, email, repositories |
| `semantica.ontology` | Auto-generation (6-stage pipeline), OWL/RDF export, import (OWL/RDF/Turtle/JSON-LD), validation, versioning, **SHACL shape generation & validation** |
| `semantica.pipeline` | Pipeline DSL, parallel workers, validation, retry policies, failure handling, resource scheduling |
| `semantica.graph_store` | Graph database backends — Neo4j, FalkorDB, Apache AGE, Amazon Neptune; Cypher queries |
| `semantica.embeddings` | Text embedding generation — Sentence-Transformers, FastEmbed, OpenAI, BGE; similarity calculation |
| `semantica.deduplication` | Entity deduplication, similarity scoring, merging, clustering; blocking and semantic strategies |
| `semantica.provenance` | W3C PROV-O compliant end-to-end lineage tracking, source attribution, audit trails |
| `semantica.parse` | Document parsing — PDF, DOCX, PPTX, HTML, code, email, structured data, media with OCR |
| `semantica.split` | Document chunking — recursive, semantic, entity-aware, relation-aware, graph-based, ontology-aware |
| `semantica.normalize` | Data normalization for text, entities, dates, numbers, quantities, languages, encodings |
| `semantica.conflicts` | Multi-source conflict detection (value, type, relationship, temporal, logical) with resolution strategies |
| `semantica.change_management` | Version storage, change tracking, checksums, audit trails, compliance support for KGs and ontologies |
| `semantica.triplet_store` | RDF triplet store integration — Blazegraph, Jena, RDF4J; SPARQL queries and bulk loading |
| `semantica.visualization` | Interactive and static visualization of KGs, ontologies, embeddings, analytics, and temporal graphs |
| `semantica.seed` | Seed data management for initial KG construction from CSV, JSON, databases, and APIs |
| `semantica.core` | Framework orchestration, configuration management, knowledge base construction, plugin system |
| `semantica.llms` | LLM provider integrations — Groq, OpenAI, Novita AI, HuggingFace, LiteLLM |
| `semantica.utils` | Shared utilities — logging, validation, exception handling, constants, types, progress tracking |
Build and query controlled vocabularies inside your knowledge graph
- Add SKOS concepts with labels, alt-labels, broader/narrower hierarchy, and definitions — all required triples assembled automatically.
- Query and search vocabularies with SPARQL-backed APIs (injection-sanitized).
@@ -346,6 +318,35 @@ Semantic memory with hybrid search and metadata filtering.
---
## Modules
| Module | What it provides |
|---|---|
| `semantica.context` | Context graphs, agent memory, decision tracking, causal analysis, precedent search, policy engine |
| `semantica.kg` | Knowledge graph construction, graph algorithms, centrality, community detection, embeddings, link prediction, provenance |
| `semantica.semantic_extract` | NER, relation extraction, event extraction, coreference, triplet generation, LLM-enhanced extraction |
| `semantica.reasoning` | Forward chaining, Rete network, deductive, abductive, SPARQL reasoning, explanation generation |
| `semantica.vector_store` | FAISS, Pinecone, Weaviate, Qdrant, Milvus, PgVector, in-memory; hybrid & filtered search |
| `semantica.export` | RDF (Turtle/JSON-LD/N-Triples/XML), Parquet, ArangoDB AQL, CSV, YAML, OWL, graph formats |
| `semantica.ingest` | Files (PDF, DOCX, CSV, HTML), web crawl, feeds, databases, Snowflake, MCP, email, repositories |
| `semantica.ontology` | Auto-generation (6-stage pipeline), OWL/RDF export, import (OWL/RDF/Turtle/JSON-LD), validation, versioning, **SHACL shape generation & validation** |
| `semantica.pipeline` | Pipeline DSL, parallel workers, validation, retry policies, failure handling, resource scheduling |
| `semantica.graph_store` | Graph database backends — Neo4j, FalkorDB, Apache AGE, Amazon Neptune; Cypher queries |
| `semantica.embeddings` | Text embedding generation — Sentence-Transformers, FastEmbed, OpenAI, BGE; similarity calculation |
| `semantica.deduplication` | Entity deduplication, similarity scoring, merging, clustering; blocking and semantic strategies |
| `semantica.provenance` | W3C PROV-O compliant end-to-end lineage tracking, source attribution, audit trails |
| `semantica.parse` | Document parsing — PDF, DOCX, PPTX, HTML, code, email, structured data, media with OCR |
| `semantica.split` | Document chunking — recursive, semantic, entity-aware, relation-aware, graph-based, ontology-aware |
| `semantica.normalize` | Data normalization for text, entities, dates, numbers, quantities, languages, encodings |
| `semantica.conflicts` | Multi-source conflict detection (value, type, relationship, temporal, logical) with resolution strategies |
| `semantica.change_management` | Version storage, change tracking, checksums, audit trails, compliance support for KGs and ontologies |
| `semantica.triplet_store` | RDF triplet store integration — Blazegraph, Jena, RDF4J; SPARQL queries and bulk loading |
| `semantica.visualization` | Interactive and static visualization of KGs, ontologies, embeddings, analytics, and temporal graphs |
| `semantica.seed` | Seed data management for initial KG construction from CSV, JSON, databases, and APIs |
| `semantica.core` | Framework orchestration, configuration management, knowledge base construction, plugin system |
| `semantica.llms` | LLM provider integrations — Groq, OpenAI, Novita AI, HuggingFace, LiteLLM |
| `semantica.utils` | Shared utilities — logging, validation, exception handling, constants, types, progress tracking |
## 💻 Code Examples
### Decision Tracking