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## Documentation Changes ### 📚 Major Improvements - **Cleaned up all documentation files** - Removed redundant content and improved clarity - **Restructured Resources section** - Removed unnecessary files, kept only essential ones - **Added Snowflake integration** - Complete integration guide with examples - **Improved navigation** - Better organization and user experience ### 🗂️ File Changes - **docs/concepts.md** - Rewritten to be clean and user-friendly - **docs/modules.md** - Updated with current modules and removed emojis - **docs/glossary.md** - Reorganized thematically instead of alphabetically - **docs/getting-started.md** - Made more concise and practical - **docs/community.md** - Clean, focused community guide - **docs/contributing.md** - Clear contribution guidelines - **docs/faq.md** - Comprehensive FAQ with practical answers - **docs/license.md** - Clean license explanation - **docs/css/custom.css** - Fixed CSS syntax and organization ### 🔧 Technical Changes - **mkdocs.yml** - Updated navigation, removed redundant files - **docs/integrations/snowflake.md** - New comprehensive Snowflake guide - **docs/reference/ingest.md** - Added Snowflake references - **Removed files**: changelog.md, release-guide.md, change_management_usage.md, community-projects.md, architecture.md, governance.md, citation.md ### 🎯 Benefits - **Better user experience** - Clean, easy to navigate documentation - **Reduced redundancy** - No duplicate or unnecessary content - **Professional quality** - Enterprise-ready documentation - **Consistent style** - Uniform formatting across all files This commit includes all documentation improvements while maintaining the main branch's stability.
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Getting Started
Overview
Semantica is a semantic intelligence layer that bridges the gap between raw data and trustworthy AI. It transforms unstructured data into explainable, auditable knowledge graphs perfect for high-stakes domains.
What You Can Build
- GraphRAG Systems - Enhanced retrieval with semantic reasoning
- AI Agents - Trustworthy agents with explainable memory
- Knowledge Graphs - Production-ready semantic databases
- Compliance-Ready AI - Auditable systems with full provenance
Installation
pip install semantica
Or with all features:
pip install semantica[all]
Verify installation:
import semantica
print(f"Semantica {semantica.__version__} installed!")
Quick Start
from semantica.semantic_extract import NERExtractor
from semantica.kg import GraphBuilder
# Extract entities
ner = NERExtractor(method="ml", model="en_core_web_sm")
entities = ner.extract("Apple Inc. was founded by Steve Jobs in 1976.")
# Build knowledge graph
kg = GraphBuilder().build({"entities": entities, "relationships": []})
print(f"Built KG with {len(kg.get('entities', []))} entities")
What this does:
- Extracts entities (people, organizations, dates) from text
- Builds a knowledge graph from extracted entities
- Outputs the number of entities found
Core Architecture
Semantica uses a modular architecture - use only what you need:
1️⃣ Input Layer - Data Ingestion
from semantica.ingest import FileIngestor
documents = FileIngestor().ingest_directory("docs/")
2️⃣ Semantic Layer - Intelligence Engine
from semantica.semantic_extract import NERExtractor, RelationExtractor
entities = NERExtractor().extract(text)
relationships = RelationExtractor().extract(text, entities)
3️⃣ Output Layer - Knowledge Assets
from semantica.kg import GraphBuilder
kg = GraphBuilder().build_graph(entities, relationships)
Next Steps
🍳 Interactive Tutorials
- Welcome to Semantica - Complete framework overview
- Your First Knowledge Graph - Hands-on graph building
- GraphRAG Complete - Production-ready RAG
📚 Learn More
- Core Concepts - Deep dive into knowledge graphs & ontologies
- Cookbook - 14 domain-specific tutorials
- API Reference - Complete technical documentation
Need Help?
- 💬 Discord Community - Get help from the community
- 🐛 Issues - Report bugs or request features
- 📖 Documentation - Full documentation site