Rebrand from SemantiCore to Semantica

- Updated all package references from semanticore to semantica
- Updated all class names from SemantiCore to Semantica
- Renamed logo files: SemantiCore Logo.png -> Semantica Logo.png
- Renamed logo files: SemantiCore Logo Dark.png -> Semantica Logo Dark.png
- Renamed roadmap file: SemantiCore_Development_Roadmap.md -> Semantica_Development_Roadmap.md
- Updated all URLs, links, and documentation references
- Updated all code examples and installation instructions
- Maintained all functionality while updating branding
This commit is contained in:
KaifAhmad1
2025-10-21 15:14:34 +05:30
parent fa2f346c54
commit c3ba6541a8
9 changed files with 215 additions and 215 deletions
+17 -17
View File
@@ -1,6 +1,6 @@
# 🤝 Contributing to SemantiCore
# 🤝 Contributing to Semantica
Thank you for your interest in contributing to SemantiCore! This document provides guidelines and information for contributors.
Thank you for your interest in contributing to Semantica! This document provides guidelines and information for contributors.
## 🎯 How to Contribute
@@ -23,8 +23,8 @@ Thank you for your interest in contributing to SemantiCore! This document provid
### **Development Setup**
```bash
# Fork and clone the repository
git clone https://github.com/YOUR_USERNAME/semanticore.git
cd semanticore
git clone https://github.com/YOUR_USERNAME/semantica.git
cd semantica
# Create virtual environment
python -m venv venv
@@ -57,15 +57,15 @@ git checkout -b fix/your-bug-fix
pytest
# Run with coverage
pytest --cov=semanticore
pytest --cov=semantica
# Run linting
flake8 semanticore/
mypy semanticore/
flake8 semantica/
mypy semantica/
# Format code
black semanticore/
isort semanticore/
black semantica/
isort semantica/
```
### **4. Commit Your Changes**
@@ -137,7 +137,7 @@ test(extraction): add tests for entity extraction
### **Writing Tests**
```python
import pytest
from semanticore.processors.document.pdf_processor import PDFProcessor
from semantica.processors.document.pdf_processor import PDFProcessor
class TestPDFProcessor:
def setup_method(self):
@@ -230,7 +230,7 @@ What actually happened.
**Environment**
- OS: [e.g., Windows 10, macOS 12.0]
- Python version: [e.g., 3.9.7]
- SemantiCore version: [e.g., 0.1.0]
- Semantica version: [e.g., 0.1.0]
**Additional Information**
Any other relevant information.
@@ -273,15 +273,15 @@ Contributors will be recognized in:
## 📞 Getting Help
- **Discussions**: [GitHub Discussions](https://github.com/semanticore/semanticore/discussions)
- **Issues**: [GitHub Issues](https://github.com/semanticore/semanticore/issues)
- **Discord**: [Community Discord](https://discord.gg/semanticore)
- **Email**: team@semanticore.io
- **Discussions**: [GitHub Discussions](https://github.com/semantica/semantica/discussions)
- **Issues**: [GitHub Issues](https://github.com/semantica/semantica/issues)
- **Discord**: [Community Discord](https://discord.gg/semantica)
- **Email**: team@semantica.io
## 📄 License
By contributing to SemantiCore, you agree that your contributions will be licensed under the MIT License.
By contributing to Semantica, you agree that your contributions will be licensed under the MIT License.
---
Thank you for contributing to SemantiCore! 🚀
Thank you for contributing to Semantica! 🚀
+43 -43
View File
@@ -4,27 +4,27 @@
```bash
# Complete installation with all format support
pip install "semanticore[all]"
pip install "semantica[all]"
# Lightweight installation
pip install semanticore
pip install semantica
# Specific format support
pip install "semanticore[pdf,web,feeds,office]"
pip install "semantica[pdf,web,feeds,office]"
# Development installation
git clone https://github.com/semanticore/semanticore.git
cd semanticore
git clone https://github.com/semantica/semantica.git
cd semantica
pip install -e ".[dev]"
```
### ⚡ 30-Second Demo: From Any Format to Knowledge
```python
from semanticore import SemantiCore
from semantica import Semantica
# Initialize with preferred providers
core = SemantiCore(
core = Semantica(
llm_provider="openai",
embedding_model="text-embedding-3-large",
vector_store="pinecone",
@@ -61,7 +61,7 @@ results = knowledge_base.query("What are the key financial trends?")
Process complex document formats with semantic understanding:
```python
from semanticore.processors import DocumentProcessor
from semantica.processors import DocumentProcessor
# Initialize document processor
doc_processor = DocumentProcessor(
@@ -89,7 +89,7 @@ for content in [pdf_content, docx_content, pptx_content]:
Real-time web content and feed processing:
```python
from semanticore.processors import WebProcessor, FeedProcessor
from semantica.processors import WebProcessor, FeedProcessor
# Web content processor
web_processor = WebProcessor(
@@ -131,7 +131,7 @@ async for item in feed_processor.stream_items():
Handle structured and semi-structured data formats:
```python
from semanticore.processors import StructuredDataProcessor
from semantica.processors import StructuredDataProcessor
# Initialize structured data processor
structured_processor = StructuredDataProcessor(
@@ -158,7 +158,7 @@ for data in [json_data, csv_data, yaml_data, xml_data]:
Process email archives and compressed files:
```python
from semanticore.processors import EmailProcessor, ArchiveProcessor
from semantica.processors import EmailProcessor, ArchiveProcessor
# Email processing
email_processor = EmailProcessor(
@@ -192,7 +192,7 @@ for content in archive_contents:
Specialized processing for academic and scientific content:
```python
from semanticore.processors import AcademicProcessor
from semantica.processors import AcademicProcessor
# Academic content processor
academic_processor = AcademicProcessor(
@@ -223,7 +223,7 @@ for content in [latex_content, bibtex_content, jats_content]:
Generate RDF triples from any content automatically:
```python
from semanticore.extraction import TripleExtractor
from semantica.extraction import TripleExtractor
# Initialize triple extractor
triple_extractor = TripleExtractor(
@@ -255,7 +255,7 @@ jsonld_format = triple_extractor.to_jsonld(triples)
Automatically generate ontologies from extracted semantic patterns:
```python
from semanticore.ontology import OntologyGenerator
from semantica.ontology import OntologyGenerator
# Initialize ontology generator
ontology_gen = OntologyGenerator(
@@ -283,7 +283,7 @@ ontology.save_to_triple_store("http://localhost:9999/blazegraph/sparql")
Create context-aware embeddings optimized for semantic search:
```python
from semanticore.embeddings import SemanticEmbedder
from semantica.embeddings import SemanticEmbedder
# Initialize semantic embedder
embedder = SemanticEmbedder(
@@ -316,7 +316,7 @@ results = vector_store.semantic_search(query, top_k=10)
Monitor and process live data feeds with semantic understanding:
```python
from semanticore.streaming import LiveFeedProcessor
from semantica.streaming import LiveFeedProcessor
# Initialize live feed processor
feed_processor = LiveFeedProcessor(
@@ -358,7 +358,7 @@ async for feed_item in feed_processor.stream():
Integrate with popular streaming platforms:
```python
from semanticore.streaming import StreamProcessor
from semantica.streaming import StreamProcessor
# Kafka integration
kafka_processor = StreamProcessor(
@@ -400,7 +400,7 @@ async for message in kafka_processor.consume():
### 🔐 Multi-Format Cybersecurity Intelligence
```python
from semanticore.domains.cyber import CyberIntelProcessor
from semantica.domains.cyber import CyberIntelProcessor
# Initialize cybersecurity processor
cyber_processor = CyberIntelProcessor(
@@ -435,7 +435,7 @@ cyber_knowledge.export_to_opencti()
### 🧬 Biomedical Literature Processing
```python
from semanticore.domains.biomedical import BiomedicalProcessor
from semantica.domains.biomedical import BiomedicalProcessor
# Initialize biomedical processor
bio_processor = BiomedicalProcessor(
@@ -466,7 +466,7 @@ biomedical_knowledge.export_to_bioportal()
### 📊 Financial Data Aggregation & Analysis
```python
from semanticore.domains.finance import FinancialProcessor
from semantica.domains.finance import FinancialProcessor
# Initialize financial processor
finance_processor = FinancialProcessor(
@@ -502,7 +502,7 @@ financial_knowledge.export_to_refinitiv()
### 🚀 Scalable Deployment Options
```python
from semanticore.deployment import ScaleManager
from semantica.deployment import ScaleManager
# Kubernetes deployment configuration
k8s_config = {
@@ -532,7 +532,7 @@ print(f"Memory usage: {metrics.memory_usage_percent}%")
### 🔧 Custom Pipeline Configuration
```python
from semanticore.pipeline import PipelineBuilder
from semantica.pipeline import PipelineBuilder
# Build custom processing pipeline
pipeline = PipelineBuilder() \
@@ -572,7 +572,7 @@ results = pipeline.process(input_sources)
### 📊 Real-Time Analytics Dashboard
```python
from semanticore.monitoring import AnalyticsDashboard
from semantica.monitoring import AnalyticsDashboard
# Initialize analytics dashboard
dashboard = AnalyticsDashboard(
@@ -604,7 +604,7 @@ dashboard.add_alert(
### 🔍 Quality Assurance & Validation
```python
from semanticore.quality import QualityAssurance
from semantica.quality import QualityAssurance
# Initialize quality assurance
qa = QualityAssurance(
@@ -635,10 +635,10 @@ qa.enable_continuous_monitoring()
### 📋 Schema-First Knowledge Graph Construction
Unlike other libraries that infer schemas, SemantiCore enforces predefined business schemas:
Unlike other libraries that infer schemas, Semantica enforces predefined business schemas:
```python
from semanticore.schema import SchemaManager, BusinessEntity
from semantica.schema import SchemaManager, BusinessEntity
from pydantic import BaseModel
from typing import List, Optional
@@ -671,7 +671,7 @@ schema_manager = SchemaManager()
schema_manager.register_entities([Employee, Department, Product])
# Process documents with schema enforcement
core = SemantiCore(schema_manager=schema_manager)
core = Semantica(schema_manager=schema_manager)
results = core.process_with_schema("hr_documents/", strict_mode=True)
# Only entities matching your schema are extracted and validated
@@ -685,7 +685,7 @@ print(f"Schema violations: {len(results.violations)}")
Start with known entities and enhance with automated extraction:
```python
from semanticore.knowledge import SeedManager
from semantica.knowledge import SeedManager
# Initialize with known business entities
seed_manager = SeedManager()
@@ -715,7 +715,7 @@ print(f"Linked to existing: {len(results.linked_entities)}")
Automatic deduplication with configurable business rules:
```python
from semanticore.deduplication import EntityDeduplicator
from semantica.deduplication import EntityDeduplicator
# Configure deduplication rules for each entity type
dedup_config = {
@@ -765,7 +765,7 @@ for merge in results.auto_merged:
Flag contradictions with complete source tracking:
```python
from semanticore.conflicts import ConflictDetector
from semantica.conflicts import ConflictDetector
# Configure conflict detection rules
conflict_detector = ConflictDetector(
@@ -819,7 +819,7 @@ resolved_conflicts = conflict_detector.resolve_conflicts(
Implement custom business logic and constraints:
```python
from semanticore.validation import BusinessRuleEngine
from semantica.validation import BusinessRuleEngine
# Define business rules
rules = BusinessRuleEngine()
@@ -878,7 +878,7 @@ for violation in validation_report.violations:
Built-in UI for reviewing and resolving conflicts:
```python
from semanticore.ui import ConflictResolutionDashboard
from semantica.ui import ConflictResolutionDashboard
# Start interactive dashboard
dashboard = ConflictResolutionDashboard(
@@ -912,18 +912,18 @@ knowledge_graph.apply_resolutions(resolved_data)
### 🎓 Learning Resources
- **📚 [Documentation](https://semanticore.readthedocs.io/)** - Comprehensive guides and API reference
- **🎯 [Tutorials](https://semanticore.readthedocs.io/tutorials/)** - Step-by-step tutorials for common use cases
- **💡 [Examples Repository](https://github.com/semanticore/examples)** - Real-world implementation examples
- **🎥 [Video Tutorials](https://youtube.com/semanticore)** - Visual learning content
- **📖 [Blog](https://blog.semanticore.io/)** - Latest updates and best practices
- **📚 [Documentation](https://semantica.readthedocs.io/)** - Comprehensive guides and API reference
- **🎯 [Tutorials](https://semantica.readthedocs.io/tutorials/)** - Step-by-step tutorials for common use cases
- **💡 [Examples Repository](https://github.com/semantica/examples)** - Real-world implementation examples
- **🎥 [Video Tutorials](https://youtube.com/semantica)** - Visual learning content
- **📖 [Blog](https://blog.semantica.io/)** - Latest updates and best practices
### 💬 Community Support
- **💬 [Discord Community](https://discord.gg/semanticore)** - Real-time chat and support
- **🐙 [GitHub Discussions](https://github.com/semanticore/semanticore/discussions)** - Community Q&A
- **📧 [Mailing List](https://groups.google.com/g/semanticore)** - Announcements and updates
- **🐦 [Twitter](https://twitter.com/semanticore)** - Latest news and tips
- **💬 [Discord Community](https://discord.gg/semantica)** - Real-time chat and support
- **🐙 [GitHub Discussions](https://github.com/semantica/semantica/discussions)** - Community Q&A
- **📧 [Mailing List](https://groups.google.com/g/semantica)** - Announcements and updates
- **🐦 [Twitter](https://twitter.com/semantica)** - Latest news and tips
### 🏢 Enterprise Support
@@ -943,7 +943,7 @@ This project is licensed under the MIT License - see the [LICENSE](LICENSE) file
## 🙏 Acknowledgments
- **🧠 Research Community** - Built upon cutting-edge research in NLP and semantic web
- **🤝 Open Source Contributors** - Hundreds of contributors making SemantiCore better
- **🤝 Open Source Contributors** - Hundreds of contributors making Semantica better
- **🏢 Enterprise Partners** - Real-world feedback and requirements shaping development
- **🎓 Academic Institutions** - Research collaborations and validation
@@ -953,6 +953,6 @@ This project is licensed under the MIT License - see the [LICENSE](LICENSE) file
**🚀 Ready to transform your data into intelligent knowledge?**
[Get Started Now](https://semanticore.readthedocs.io/quickstart/) • [View Examples](https://github.com/semanticore/examples) • [Join Community](https://discord.gg/semanticore)
[Get Started Now](https://semantica.readthedocs.io/quickstart/) • [View Examples](https://github.com/semantica/examples) • [Join Community](https://discord.gg/semantica)
</div>
+11 -11
View File
@@ -1,4 +1,4 @@
# 🧠 SemantiCore
# 🧠 Semantica
> **The AI-Native Semantic Layer & Knowledge Engineering Toolkit**
> Modular • Agentic • RAG-Ready • Real-Time • Extensible • Open-Source
@@ -9,7 +9,7 @@
In an AI-native world dominated by intelligent agents, automation pipelines, and reasoning systems, **raw documents are no longer enough**. To enable deep understanding, reasoning, memory, and automation — you need a **semantic core**.
**SemantiCore** is your central, extensible, open-source framework for transforming messy, unstructured data into **machine-understandable**, **queryable**, and **actionable** knowledge.
**Semantica** is your central, extensible, open-source framework for transforming messy, unstructured data into **machine-understandable**, **queryable**, and **actionable** knowledge.
---
@@ -30,7 +30,7 @@ In an AI-native world dominated by intelligent agents, automation pipelines, and
## 📦 Installation
```bash
git clone https://github.com/semanticores/semcore.git
git clone https://github.com/semanticas/semcore.git
cd semcore
pip install -e .[all] # Includes extras like UI, Whisper, Neo4j, etc.
```
@@ -413,31 +413,31 @@ semantic_results = pipeline.query(
### Quick Start
```bash
# Basic installation
pip install semanticore
pip install semantica
# Full installation with all features
pip install semanticore[all]
pip install semantica[all]
# Specific modules
pip install semanticore[graphs,vectors,ui]
pip install semantica[graphs,vectors,ui]
```
### Docker Deployment
```bash
# Start complete stack
docker-compose up -d semanticore-stack
docker-compose up -d semantica-stack
# Custom configuration
docker run -v ./config:/app/config semanticore:latest
docker run -v ./config:/app/config semantica:latest
```
### Kubernetes
```bash
# Deploy with Helm
helm install semanticore ./charts/semanticore
helm install semantica ./charts/semantica
# Scale processing nodes
kubectl scale deployment semanticore-workers --replicas=10
kubectl scale deployment semantica-workers --replicas=10
```
---
@@ -493,7 +493,7 @@ Attribution appreciated. Collaborative forks encouraged.
> Let's build the semantic backbone of the AI-native world.
SemantiCore is not just a toolkit — it's a **movement** toward AI systems that reason, explain, and learn from structured, semantic knowledge.
Semantica is not just a toolkit — it's a **movement** toward AI systems that reason, explain, and learn from structured, semantic knowledge.
**Connect. Contribute. Collaborate.**
+27 -27
View File
@@ -1,12 +1,12 @@
# 🚀 SemantiCore: The Ultimate Knowledge Engineering Toolkit
# 🚀 Semantica: The Ultimate Knowledge Engineering Toolkit
> **"Transform Unstructured Data into Semantic Layers: Build Enterprise Knowledge Graphs with Engineering Precision"**
---
## 🎯 **What is SemantiCore?**
## 🎯 **What is Semantica?**
SemantiCore is a comprehensive toolkit for Knowledge Engineering and Semantic Layer construction. It transforms unstructured data into structured, queryable semantic layers with built-in quality controls, conflict detection, and full provenance tracking. Built for data engineers, knowledge engineers, and semantic architects.
Semantica is a comprehensive toolkit for Knowledge Engineering and Semantic Layer construction. It transforms unstructured data into structured, queryable semantic layers with built-in quality controls, conflict detection, and full provenance tracking. Built for data engineers, knowledge engineers, and semantic architects.
---
@@ -32,7 +32,7 @@ SemantiCore is a comprehensive toolkit for Knowledge Engineering and Semantic La
```
┌─────────────────────────────────────────────────────────────┐
│ SemantiCore Knowledge Engineering Toolkit │
│ Semantica Knowledge Engineering Toolkit │
├─────────────────────────────────────────────────────────────┤
│ 📊 Semantic Dashboard │ 🔧 Engineering CLI │ 📈 Quality Monitor │
├─────────────────────────────────────────────────────────────┤
@@ -99,9 +99,9 @@ graph LR
### 1. **Load Unstructured Data**
```python
from semanticore import SemantiCore
from semantica import Semantica
core = SemantiCore()
core = Semantica()
core.ingest_unstructured_data("./documents/", "./emails/", "./databases/")
```
@@ -171,7 +171,7 @@ semantic_analysis = semantic_layer.analyze_relationships("fraud_detection_patter
---
## 💡 **Why Choose SemantiCore for Knowledge Engineering?**
## 💡 **Why Choose Semantica for Knowledge Engineering?**
### ✅ **Knowledge Engineering Advantages**
- **Semantic Layer Focus** - Purpose-built for building enterprise semantic layers
@@ -181,7 +181,7 @@ semantic_analysis = semantic_layer.analyze_relationships("fraud_detection_patter
- **Provenance & Lineage** - Full audit trail for knowledge engineering processes
### 🆚 **vs. Knowledge Engineering Alternatives**
| Feature | SemantiCore | Neo4j | Amazon Neptune | Microsoft Graph | Stardog |
| Feature | Semantica | Neo4j | Amazon Neptune | Microsoft Graph | Stardog |
|---------|-------------|-------|----------------|-----------------|---------|
| **Semantic Layer Construction** | ✅ Native | ❌ Manual | ❌ Limited | ❌ Basic | ⚠️ Partial |
| **Unstructured Data Processing** | ✅ Full Suite | ❌ Text only | ❌ Limited | ❌ Limited | ⚠️ Basic |
@@ -218,15 +218,15 @@ semantic_analysis = semantic_layer.analyze_relationships("fraud_detection_patter
## 🤝 **Get Involved**
### 📚 **Resources**
- **Documentation**: [docs.semanticore.ai](https://docs.semanticore.ai)
- **GitHub**: [github.com/semanticore](https://github.com/semanticore)
- **Discord**: [discord.gg/semanticore](https://discord.gg/semanticore)
- **Blog**: [blog.semanticore.ai](https://blog.semanticore.ai)
- **Documentation**: [docs.semantica.ai](https://docs.semantica.ai)
- **GitHub**: [github.com/semantica](https://github.com/semantica)
- **Discord**: [discord.gg/semantica](https://discord.gg/semantica)
- **Blog**: [blog.semantica.ai](https://blog.semantica.ai)
### 🆘 **Support**
- **Community**: GitHub Discussions
- **Enterprise**: [enterprise@semanticore.ai](mailto:enterprise@semanticore.ai)
- **Sales**: [sales@semanticore.ai](mailto:sales@semanticore.ai)
- **Enterprise**: [enterprise@semantica.ai](mailto:enterprise@semantica.ai)
- **Sales**: [sales@semantica.ai](mailto:sales@semantica.ai)
---
@@ -280,14 +280,14 @@ semantic_analysis = semantic_layer.analyze_relationships("fraud_detection_patter
## 🎬 **Knowledge Engineering Demos**
### 📹 **Video Demos**
- [Knowledge Engineering Quick Start](https://youtube.com/semanticore-knowledge-engineering)
- [Semantic Layer Construction](https://youtube.com/semanticore-semantic-layers)
- [Enterprise Knowledge Engineering](https://youtube.com/semanticore-enterprise)
- [Knowledge Engineering Quick Start](https://youtube.com/semantica-knowledge-engineering)
- [Semantic Layer Construction](https://youtube.com/semantica-semantic-layers)
- [Enterprise Knowledge Engineering](https://youtube.com/semantica-enterprise)
### 📚 **Live Examples**
- [Financial Semantic Layer](https://demo.semanticore.ai/financial-semantic)
- [Healthcare Knowledge Graph](https://demo.semanticore.ai/healthcare-kg)
- [Legal Compliance Knowledge Base](https://demo.semanticore.ai/legal-compliance)
- [Financial Semantic Layer](https://demo.semantica.ai/financial-semantic)
- [Healthcare Knowledge Graph](https://demo.semantica.ai/healthcare-kg)
- [Legal Compliance Knowledge Base](https://demo.semantica.ai/legal-compliance)
---
@@ -297,15 +297,15 @@ semantic_analysis = semantic_layer.analyze_relationships("fraud_detection_patter
---
*Built with ❤️ by the SemantiCore Community*
*Built with ❤️ by the Semantica Community*
---
## 📞 **Contact Knowledge Engineering Team**
- **Website**: [semanticore.ai](https://semanticore.ai)
- **Email**: [knowledge-engineering@semanticore.ai](mailto:knowledge-engineering@semanticore.ai)
- **Twitter**: [@semanticore](https://twitter.com/semanticore)
- **LinkedIn**: [SemantiCore Knowledge Engineering](https://linkedin.com/company/semanticore)
- **YouTube**: [SemantiCore Knowledge Engineering](https://youtube.com/semanticore)
- **Discord**: [Knowledge Engineering Community](https://discord.gg/semanticore-ke)
- **Website**: [semantica.ai](https://semantica.ai)
- **Email**: [knowledge-engineering@semantica.ai](mailto:knowledge-engineering@semantica.ai)
- **Twitter**: [@semantica](https://twitter.com/semantica)
- **LinkedIn**: [Semantica Knowledge Engineering](https://linkedin.com/company/semantica)
- **YouTube**: [Semantica Knowledge Engineering](https://youtube.com/semantica)
- **Discord**: [Knowledge Engineering Community](https://discord.gg/semantica-ke)
+26 -26
View File
@@ -1,31 +1,31 @@
<div align="center">
<img src="SemantiCore%20Logo.png" alt="SemantiCore Logo" width="300" height="auto">
<img src="Semantica%20Logo.png" alt="Semantica Logo" width="300" height="auto">
# 🧠 SemantiCore
# 🧠 Semantica
[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![PyPI version](https://badge.fury.io/py/semanticore.svg)](https://badge.fury.io/py/semanticore)
[![Downloads](https://pepy.tech/badge/semanticore)](https://pepy.tech/project/semanticore)
[![PyPI version](https://badge.fury.io/py/semantica.svg)](https://badge.fury.io/py/semantica)
[![Downloads](https://pepy.tech/badge/semantica)](https://pepy.tech/project/semantica)
**🚀 Open Source Semantic Layer and Knowledge Engineering Toolkit**
*Transform any unstructured data format into intelligent, structured semantic knowledge graphs, embeddings, and ontologies for LLMs, Agents, RAG systems, and Knowledge Graphs.*
[📖 Documentation](https://semanticore.readthedocs.io/) • [🚀 Quick Start](#-quick-start) • [💡 Features](#-features) • [🤝 Community](#-community--support) • [🔧 API Reference](https://semanticore.readthedocs.io/api/)
[📖 Documentation](https://semantica.readthedocs.io/) • [🚀 Quick Start](#-quick-start) • [💡 Features](#-features) • [🤝 Community](#-community--support) • [🔧 API Reference](https://semantica.readthedocs.io/api/)
</div>
---
## 🌟 What is SemantiCore?
## 🌟 What is Semantica?
SemantiCore is the most comprehensive semantic data transformation platform that bridges the gap between raw unstructured data in **any format** and intelligent AI systems. From complex documents to live data feeds, SemantiCore extracts meaning, builds knowledge, and creates intelligent semantic layers that power next-generation AI applications.
Semantica is the most comprehensive semantic data transformation platform that bridges the gap between raw unstructured data in **any format** and intelligent AI systems. From complex documents to live data feeds, Semantica extracts meaning, builds knowledge, and creates intelligent semantic layers that power next-generation AI applications.
> **"The missing link between your data and AI — turning unstructured chaos into structured, intelligent semantic knowledge."**
### 🎯 Why Choose SemantiCore?
### 🎯 Why Choose Semantica?
<table>
<tr>
@@ -166,27 +166,27 @@ SemantiCore is the most comprehensive semantic data transformation platform that
```bash
# Complete installation with all format support
pip install "semanticore[all]"
pip install "semantica[all]"
# Lightweight installation
pip install semanticore
pip install semantica
# Specific format support
pip install "semanticore[pdf,web,feeds,office]"
pip install "semantica[pdf,web,feeds,office]"
# Development installation
git clone https://github.com/semanticore/semanticore.git
cd semanticore
git clone https://github.com/semantica/semantica.git
cd semantica
pip install -e ".[dev]"
```
### ⚡ 30-Second Demo: From Any Format to Knowledge
```python
from semanticore import SemantiCore
from semantica import Semantica
# Initialize with preferred providers
core = SemantiCore(
core = Semantica(
llm_provider="openai",
embedding_model="text-embedding-3-large",
vector_store="pinecone",
@@ -299,17 +299,17 @@ results = knowledge_base.query("What are the key financial trends?")
## 🤝 Community & Support
### 🎓 **Learning Resources**
- **📚 [Documentation](https://semanticore.readthedocs.io/)** - Comprehensive guides and API reference
- **🎯 [Tutorials](https://semanticore.readthedocs.io/tutorials/)** - Step-by-step tutorials for common use cases
- **💡 [Examples Repository](https://github.com/semanticore/examples)** - Real-world implementation examples
- **🎥 [Video Tutorials](https://youtube.com/semanticore)** - Visual learning content
- **📖 [Blog](https://blog.semanticore.io/)** - Latest updates and best practices
- **📚 [Documentation](https://semantica.readthedocs.io/)** - Comprehensive guides and API reference
- **🎯 [Tutorials](https://semantica.readthedocs.io/tutorials/)** - Step-by-step tutorials for common use cases
- **💡 [Examples Repository](https://github.com/semantica/examples)** - Real-world implementation examples
- **🎥 [Video Tutorials](https://youtube.com/semantica)** - Visual learning content
- **📖 [Blog](https://blog.semantica.io/)** - Latest updates and best practices
### 💬 **Community Support**
- **💬 [Discord Community](https://discord.gg/semanticore)** - Real-time chat and support
- **🐙 [GitHub Discussions](https://github.com/semanticore/semanticore/discussions)** - Community Q&A
- **📧 [Mailing List](https://groups.google.com/g/semanticore)** - Announcements and updates
- **🐦 [Twitter](https://twitter.com/semanticore)** - Latest news and tips
- **💬 [Discord Community](https://discord.gg/semantica)** - Real-time chat and support
- **🐙 [GitHub Discussions](https://github.com/semantica/semantica/discussions)** - Community Q&A
- **📧 [Mailing List](https://groups.google.com/g/semantica)** - Announcements and updates
- **🐦 [Twitter](https://twitter.com/semantica)** - Latest news and tips
### 🏢 **Enterprise Support**
- **🎯 Professional Services** - Custom implementation and consulting
@@ -328,7 +328,7 @@ This project is licensed under the MIT License - see the [LICENSE](LICENSE) file
## 🙏 Acknowledgments
- **🧠 Research Community** - Built upon cutting-edge research in NLP and semantic web
- **🤝 Open Source Contributors** - Hundreds of contributors making SemantiCore better
- **🤝 Open Source Contributors** - Hundreds of contributors making Semantica better
- **🏢 Enterprise Partners** - Real-world feedback and requirements shaping development
- **🎓 Academic Institutions** - Research collaborations and validation
@@ -338,6 +338,6 @@ This project is licensed under the MIT License - see the [LICENSE](LICENSE) file
**🚀 Ready to transform your data into intelligent knowledge?**
[Get Started Now](https://semanticore.readthedocs.io/quickstart/) • [View Examples](https://github.com/semanticore/examples) • [Join Community](https://discord.gg/semanticore)
[Get Started Now](https://semantica.readthedocs.io/quickstart/) • [View Examples](https://github.com/semantica/examples) • [Join Community](https://discord.gg/semantica)
</div>

Before

Width:  |  Height:  |  Size: 1.4 MiB

After

Width:  |  Height:  |  Size: 1.4 MiB

Before

Width:  |  Height:  |  Size: 1.4 MiB

After

Width:  |  Height:  |  Size: 1.4 MiB

@@ -1,12 +1,12 @@
# SemantiCore — Modules, Features, Roadmap & Visuals
# Semantica — Modules, Features, Roadmap & Visuals
> **Purpose:** A concise engineering guide listing every module, feature, responsibilities, recommended tech, and visual diagrams to help you design, implement, and ship the SemantiCore opensource semantic toolkit.
> **Purpose:** A concise engineering guide listing every module, feature, responsibilities, recommended tech, and visual diagrams to help you design, implement, and ship the Semantica opensource semantic toolkit.
---
## 1. High-level overview
SemantiCore transforms raw, multi-format input into semantic knowledge (triples, ontologies, graphs, embeddings) suitable for RAG, multi-agent systems, GraphRAG, and domain-specific AI pipelines. The architecture is modular, pluggable, and cloud-native.
Semantica transforms raw, multi-format input into semantic knowledge (triples, ontologies, graphs, embeddings) suitable for RAG, multi-agent systems, GraphRAG, and domain-specific AI pipelines. The architecture is modular, pluggable, and cloud-native.
---
@@ -17,16 +17,16 @@ Each module is a self-contained package with a clear public API.
1. **core**
* **Responsibilities:** orchestration, pipeline runner, configuration, plugin registry, lifecycle management.
* **Exports:** `SemantiCore`, `PipelineBuilder`, `Config`, `PluginManager`.
* **Exports:** `Semantica`, `PipelineBuilder`, `Config`, `PluginManager`.
* **Submodules:**
- **orchestrator:** Pipeline coordination, task scheduling, resource management
- **config_manager:** YAML/JSON config parsing, environment variables, validation
- **plugin_registry:** Dynamic plugin loading, version compatibility, dependency resolution
- **lifecycle:** Startup/shutdown hooks, health checks, graceful degradation
* **Functions:**
- `SemantiCore.initialize()` - Setup all modules and connections
- `SemantiCore.run_pipeline()` - Execute complete processing pipeline
- `SemantiCore.get_status()` - Return system health and metrics
- `Semantica.initialize()` - Setup all modules and connections
- `Semantica.run_pipeline()` - Execute complete processing pipeline
- `Semantica.get_status()` - Return system health and metrics
- `PipelineBuilder.add_step()` - Add processing step to pipeline
- `PipelineBuilder.set_parallelism()` - Configure parallel execution
- `Config.validate()` - Validate configuration against schema
@@ -1419,7 +1419,7 @@ agents ████ 4
```mermaid
gantt
dateFormat YYYY-MM-DD
title SemantiCore high-level roadmap
title Semantica high-level roadmap
section MVP
Core & Ingest :done, a1, 2025-01-01, 45d
Parsing & Chunking :done, a2, after a1, 30d
@@ -1486,7 +1486,7 @@ gantt
/docs/
/examples/
/infra/k8s/
/helm/semanticore/
/helm/semantica/
/.github/workflows/
🆕 /packages/template_manager/
@@ -1520,9 +1520,9 @@ gantt
## 12. Example API usage (reference)
```python
from semanticore import SemantiCore
from semantica import Semantica
core = SemantiCore(
core = Semantica(
config_path="./config.yaml",
llm_provider="local",
vector_store="faiss"
@@ -1535,14 +1535,14 @@ print(kb.search("key trends"))
### 🆕 **NEW API EXAMPLES FOR KNOWLEDGE GRAPH QUALITY**
```python
from semanticore import SemantiCore
from semanticore.template_manager import TemplateRegistry
from semanticore.seed_manager import SeedManager
from semanticore.semantic_deduplicator import SemanticDeduplicator
from semanticore.conflict_detector import ConflictDetector
from semantica import Semantica
from semantica.template_manager import TemplateRegistry
from semantica.seed_manager import SeedManager
from semantica.semantic_deduplicator import SemanticDeduplicator
from semantica.conflict_detector import ConflictDetector
# Initialize with quality modules
core = SemantiCore(
core = Semantica(
config_path="./config.yaml",
template_manager=TemplateRegistry("./templates/"),
seed_manager=SeedManager("./seed_data/"),
+74 -74
View File
@@ -1,33 +1,33 @@
# 🧠 SemantiCore
# 🧠 Semantica
<div align="center">
[![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg?style=for-the-badge&logo=python&logoColor=white)](https://www.python.org/downloads/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg?style=for-the-badge)](https://opensource.org/licenses/MIT)
[![PyPI version](https://badge.fury.io/py/semanticore.svg?style=for-the-badge)](https://badge.fury.io/py/semanticore)
[![Downloads](https://pepy.tech/badge/semanticore?style=for-the-badge)](https://pepy.tech/project/semanticore)
[![Docker](https://img.shields.io/badge/docker-ready-blue?style=for-the-badge&logo=docker&logoColor=white)](https://hub.docker.com/r/semanticore/semanticore)
[![PyPI version](https://badge.fury.io/py/semantica.svg?style=for-the-badge)](https://badge.fury.io/py/semantica)
[![Downloads](https://pepy.tech/badge/semantica?style=for-the-badge)](https://pepy.tech/project/semantica)
[![Docker](https://img.shields.io/badge/docker-ready-blue?style=for-the-badge&logo=docker&logoColor=white)](https://hub.docker.com/r/semantica/semantica)
[![Kubernetes](https://img.shields.io/badge/kubernetes-ready-326CE5?style=for-the-badge&logo=kubernetes&logoColor=white)](https://kubernetes.io/)
[![GitHub stars](https://img.shields.io/github/stars/semanticore/semanticore?style=for-the-badge)](https://github.com/semanticore/semanticore)
[![Contributors](https://img.shields.io/github/contributors/semanticore/semanticore?style=for-the-badge)](https://github.com/semanticore/semanticore/graphs/contributors)
[![GitHub stars](https://img.shields.io/github/stars/semantica/semantica?style=for-the-badge)](https://github.com/semantica/semantica)
[![Contributors](https://img.shields.io/github/contributors/semantica/semantica?style=for-the-badge)](https://github.com/semantica/semantica/graphs/contributors)
**🚀 The Ultimate Open Source Toolkit for building Semantic Layers for AI**
*Transform any data format into intelligent, contextual knowledge graphs, embeddings, and semantic structures that power next-generation AI applications, RAG systems, and intelligent agents.*
[📖 Documentation](https://semanticore.readthedocs.io/) • [🚀 Quick Start](#-quick-start) • [💡 Examples](#-examples) • [🤝 Community](#-community) • [🔧 API Reference](https://semanticore.readthedocs.io/api/)
[📖 Documentation](https://semantica.readthedocs.io/) • [🚀 Quick Start](#-quick-start) • [💡 Examples](#-examples) • [🤝 Community](#-community) • [🔧 API Reference](https://semantica.readthedocs.io/api/)
</div>
---
## 🌟 What is SemantiCore?
## 🌟 What is Semantica?
SemantiCore is the most comprehensive open-source semantic intelligence platform that transforms raw, unstructured data from **any source** into intelligent, contextual knowledge. Built for developers, researchers, and enterprises, it bridges the gap between chaotic data and AI-ready semantic understanding.
Semantica is the most comprehensive open-source semantic intelligence platform that transforms raw, unstructured data from **any source** into intelligent, contextual knowledge. Built for developers, researchers, and enterprises, it bridges the gap between chaotic data and AI-ready semantic understanding.
> **"The missing link between your data and AI — turning unstructured chaos into structured, intelligent semantic knowledge."**
### 🎯 Why Choose SemantiCore?
### 🎯 Why Choose Semantica?
<table>
<tr>
@@ -68,7 +68,7 @@ SemantiCore is the most comprehensive open-source semantic intelligence platform
## 🔧 Core Modules Overview
SemantiCore is built with a modular architecture that provides comprehensive semantic intelligence capabilities:
Semantica is built with a modular architecture that provides comprehensive semantic intelligence capabilities:
### 📊 **Data Processing Modules**
- **[Document Processor](#-document-processing-module)** - PDF, DOCX, XLSX, PPTX, LaTeX, EPUB and more
@@ -126,27 +126,27 @@ SemantiCore is built with a modular architecture that provides comprehensive sem
```bash
# Complete installation with all modules
pip install "semanticore[all]"
pip install "semantica[all]"
# Lightweight core installation
pip install semanticore
pip install semantica
# Specific module support
pip install "semanticore[pdf,web,feeds,office,scientific]"
pip install "semantica[pdf,web,feeds,office,scientific]"
# Development installation
git clone https://github.com/semanticore/semanticore.git
cd semanticore
git clone https://github.com/semantica/semantica.git
cd semantica
pip install -e ".[dev]"
```
### ⚡ Transform Any Data in 60 Seconds
```python
from semanticore import SemantiCore
from semantica import Semantica
# Initialize with your preferred providers
core = SemantiCore(
core = Semantica(
llm_provider="openai", # or "anthropic", "huggingface", "ollama"
embedding_model="text-embedding-3-large",
vector_store="pinecone", # or "weaviate", "chroma", "qdrant"
@@ -202,7 +202,7 @@ for result in results:
Handle complex document formats with full semantic understanding:
```python
from semanticore.processors import DocumentProcessor
from semantica.processors import DocumentProcessor
# Initialize with comprehensive extraction capabilities
doc_processor = DocumentProcessor(
@@ -257,7 +257,7 @@ for content in [pdf_content, docx_content, pptx_content, xlsx_content]:
Real-time web content and feed processing with semantic understanding:
```python
from semanticore.processors import WebProcessor, FeedProcessor
from semantica.processors import WebProcessor, FeedProcessor
# Advanced web content processor
web_processor = WebProcessor(
@@ -324,7 +324,7 @@ async for item in feed_processor.stream_items():
Transform structured and semi-structured data into semantic knowledge:
```python
from semanticore.processors import StructuredDataProcessor
from semantica.processors import StructuredDataProcessor
# Initialize with intelligent schema detection
structured_processor = StructuredDataProcessor(
@@ -384,7 +384,7 @@ unified_graph = core.merge_data_graphs([item['triples'] for item in processed_da
Advanced context building and preservation across all data sources:
```python
from semanticore.context import ContextEngineer
from semantica.context import ContextEngineer
# Initialize context engineering system
context_engineer = ContextEngineer(
@@ -446,7 +446,7 @@ for result in contextual_results:
Create context-aware embeddings optimized for semantic understanding:
```python
from semanticore.embeddings import SemanticEmbedder
from semantica.embeddings import SemanticEmbedder
# Initialize advanced semantic embedder
embedder = SemanticEmbedder(
@@ -523,7 +523,7 @@ for result in search_results:
Automatically construct intelligent knowledge graphs from any data:
```python
from semanticore.graph import KnowledgeGraphBuilder
from semantica.graph import KnowledgeGraphBuilder
# Initialize knowledge graph builder
graph_builder = KnowledgeGraphBuilder(
@@ -584,7 +584,7 @@ for query in graph_queries:
Automatically generate SPARQL queries for semantic search:
```python
from semanticore.query import SPARQLQueryGenerator
from semantica.query import SPARQLQueryGenerator
# Initialize SPARQL query generator
sparql_generator = SPARQLQueryGenerator(
@@ -627,7 +627,7 @@ for nl_query in natural_queries:
Process real-time data streams with semantic understanding:
```python
from semanticore.streaming import StreamProcessor
from semantica.streaming import StreamProcessor
# Initialize stream processor with multiple platform support
stream_processor = StreamProcessor(
@@ -642,7 +642,7 @@ stream_processor = StreamProcessor(
kafka_config = {
'bootstrap_servers': ['localhost:9092'],
'topics': ['documents', 'web_content', 'feeds', 'social_media'],
'consumer_group': 'semanticore_processors'
'consumer_group': 'semantica_processors'
}
stream_processor.configure_kafka(kafka_config)
@@ -653,7 +653,7 @@ rabbitmq_config = {
'port': 5672,
'virtual_host': '/',
'queues': ['semantic_processing', 'document_analysis'],
'exchange': 'semanticore_exchange'
'exchange': 'semantica_exchange'
}
stream_processor.configure_rabbitmq(rabbitmq_config)
@@ -711,7 +711,7 @@ await process_stream_data()
Monitor live feeds with intelligent content analysis:
```python
from semanticore.streaming import LiveFeedMonitor
from semantica.streaming import LiveFeedMonitor
# Initialize live feed monitor
feed_monitor = LiveFeedMonitor(
@@ -790,8 +790,8 @@ async for feed_item in feed_monitor.stream_items():
### 🔬 Research Paper Analysis Pipeline
```python
from semanticore import SemantiCore
from semanticore.pipelines import ResearchPipeline
from semantica import Semantica
from semantica.pipelines import ResearchPipeline
# Initialize research-focused pipeline
research_pipeline = ResearchPipeline(
@@ -847,7 +847,7 @@ for query in research_queries:
### 📊 Business Intelligence Dashboard
```python
from semanticore.dashboards import BusinessIntelligenceDashboard
from semantica.dashboards import BusinessIntelligenceDashboard
# Initialize BI dashboard
bi_dashboard = BusinessIntelligenceDashboard(
@@ -897,7 +897,7 @@ async for update in bi_dashboard.stream_updates():
### 🏥 Healthcare Knowledge System
```python
from semanticore.healthcare import HealthcareProcessor
from semantica.healthcare import HealthcareProcessor
# Initialize healthcare-specific processor
healthcare_processor = HealthcareProcessor(
@@ -951,7 +951,7 @@ for query in medical_queries:
### 🔒 Cybersecurity Threat Intelligence
```python
from semanticore.security import CyberSecurityProcessor
from semantica.security import CyberSecurityProcessor
# Initialize cybersecurity processor
cyber_processor = CyberSecurityProcessor(
@@ -1011,12 +1011,12 @@ for query in threat_queries:
### 🚀 Scalable Deployment
```python
from semanticore.deployment import EnterpriseDeployment
from semantica.deployment import EnterpriseDeployment
# Configure enterprise deployment
enterprise_config = {
'kubernetes': {
'namespace': 'semanticore-prod',
'namespace': 'semantica-prod',
'replicas': 10,
'resources': {
'cpu': '4000m',
@@ -1057,7 +1057,7 @@ print(f"🌐 Active Connections: {metrics.active_connections}")
### 🔧 Custom Pipeline Builder
```python
from semanticore.pipelines import PipelineBuilder
from semantica.pipelines import PipelineBuilder
# Build custom enterprise pipeline
enterprise_pipeline = PipelineBuilder() \
@@ -1133,7 +1133,7 @@ print(f" ⏱️ Processing Time: {results.processing_time:.2f} seconds")
### 📊 Real-Time Analytics Dashboard
```python
from semanticore.analytics import AnalyticsDashboard
from semantica.analytics import AnalyticsDashboard
# Initialize comprehensive analytics dashboard
analytics = AnalyticsDashboard(
@@ -1200,7 +1200,7 @@ print("📊 Analytics Dashboard started at http://localhost:8080")
### 🔍 Quality Assurance System
```python
from semanticore.quality import QualityAssurance
from semantica.quality import QualityAssurance
# Initialize comprehensive quality assurance
qa_system = QualityAssurance(
@@ -1261,8 +1261,8 @@ qa_system.enable_continuous_monitoring(
### ⚙️ Multi-Provider Setup
```python
from semanticore import SemantiCore
from semanticore.config import MultiProviderConfig
from semantica import Semantica
from semantica.config import MultiProviderConfig
# Configure multiple providers for redundancy and optimization
config = MultiProviderConfig({
@@ -1296,7 +1296,7 @@ config = MultiProviderConfig({
'vector_stores': {
'primary': {
'provider': 'pinecone',
'index': 'semanticore-prod',
'index': 'semantica-prod',
'environment': 'us-west1-gcp'
},
'secondary': {
@@ -1320,7 +1320,7 @@ config = MultiProviderConfig({
})
# Initialize with multi-provider configuration
core = SemantiCore(config=config)
core = Semantica(config=config)
# Automatic failover and load balancing
core.enable_automatic_failover(
@@ -1333,7 +1333,7 @@ core.enable_automatic_failover(
### 🔐 Security & Privacy Configuration
```python
from semanticore.security import SecurityConfig
from semantica.security import SecurityConfig
# Configure comprehensive security settings
security_config = SecurityConfig({
@@ -1387,8 +1387,8 @@ We welcome contributions from developers, researchers, and domain experts! Here'
```bash
# Clone the repository
git clone https://github.com/semanticore/semanticore.git
cd semanticore
git clone https://github.com/semantica/semantica.git
cd semantica
# Create development environment
python -m venv venv
@@ -1401,9 +1401,9 @@ pip install -e ".[dev,test,docs]"
pytest tests/
# Run linting
flake8 semanticore/
black semanticore/
mypy semanticore/
flake8 semantica/
black semantica/
mypy semantica/
# Build documentation
cd docs/
@@ -1434,35 +1434,35 @@ make html
### 📚 Learning Resources
#### 📖 Official Documentation
- **[Getting Started Guide](https://semanticore.readthedocs.io/getting-started/)** - Complete beginner's guide
- **[API Reference](https://semanticore.readthedocs.io/api/)** - Comprehensive API documentation
- **[Architecture Guide](https://semanticore.readthedocs.io/architecture/)** - System architecture and design
- **[Performance Tuning](https://semanticore.readthedocs.io/performance/)** - Optimization best practices
- **[Getting Started Guide](https://semantica.readthedocs.io/getting-started/)** - Complete beginner's guide
- **[API Reference](https://semantica.readthedocs.io/api/)** - Comprehensive API documentation
- **[Architecture Guide](https://semantica.readthedocs.io/architecture/)** - System architecture and design
- **[Performance Tuning](https://semantica.readthedocs.io/performance/)** - Optimization best practices
#### 🎓 Tutorials & Examples
- **[Tutorial Series](https://semanticore.readthedocs.io/tutorials/)** - Step-by-step learning path
- **[Example Projects](https://github.com/semanticore/examples)** - Real-world implementation examples
- **[Best Practices](https://semanticore.readthedocs.io/best-practices/)** - Industry best practices guide
- **[Case Studies](https://semanticore.readthedocs.io/case-studies/)** - Real-world success stories
- **[Tutorial Series](https://semantica.readthedocs.io/tutorials/)** - Step-by-step learning path
- **[Example Projects](https://github.com/semantica/examples)** - Real-world implementation examples
- **[Best Practices](https://semantica.readthedocs.io/best-practices/)** - Industry best practices guide
- **[Case Studies](https://semantica.readthedocs.io/case-studies/)** - Real-world success stories
#### 🎥 Video Content
- **[YouTube Channel](https://youtube.com/semanticore)** - Video tutorials and demos
- **[Webinar Series](https://semanticore.io/webinars)** - Live learning sessions
- **[Conference Talks](https://semanticore.io/talks)** - Conference presentations and talks
- **[YouTube Channel](https://youtube.com/semantica)** - Video tutorials and demos
- **[Webinar Series](https://semantica.io/webinars)** - Live learning sessions
- **[Conference Talks](https://semantica.io/talks)** - Conference presentations and talks
### 💬 Community Support
#### 🗨️ Discussion Forums
- **[Discord Server](https://discord.gg/semanticore)** - Real-time chat and community support
- **[GitHub Discussions](https://github.com/semanticore/semanticore/discussions)** - Technical discussions and Q&A
- **[Reddit Community](https://reddit.com/r/semanticore)** - Community discussions and sharing
- **[Stack Overflow](https://stackoverflow.com/questions/tagged/semanticore)** - Technical questions and answers
- **[Discord Server](https://discord.gg/semantica)** - Real-time chat and community support
- **[GitHub Discussions](https://github.com/semantica/semantica/discussions)** - Technical discussions and Q&A
- **[Reddit Community](https://reddit.com/r/semantica)** - Community discussions and sharing
- **[Stack Overflow](https://stackoverflow.com/questions/tagged/semantica)** - Technical questions and answers
#### 📧 Communication Channels
- **[Mailing List](https://groups.google.com/g/semanticore)** - Announcements and updates
- **[Developer Newsletter](https://semanticore.io/newsletter)** - Monthly development updates
- **[Twitter](https://twitter.com/semanticore)** - Latest news and quick updates
- **[LinkedIn](https://linkedin.com/company/semanticore)** - Professional updates and networking
- **[Mailing List](https://groups.google.com/g/semantica)** - Announcements and updates
- **[Developer Newsletter](https://semantica.io/newsletter)** - Monthly development updates
- **[Twitter](https://twitter.com/semantica)** - Latest news and quick updates
- **[LinkedIn](https://linkedin.com/company/semantica)** - Professional updates and networking
#### 🎉 Community Events
- **Monthly Meetups** - Local and virtual community meetups
@@ -1542,7 +1542,7 @@ This project is licensed under the **MIT License** - see the [LICENSE](LICENSE)
```
MIT License
Copyright (c) 2024 SemantiCore Contributors
Copyright (c) 2024 Semantica Contributors
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
@@ -1591,15 +1591,15 @@ SOFTWARE.
## 🚀 Ready to Transform Your Data?
**Join thousands of developers, researchers, and organizations using SemantiCore to build the next generation of intelligent applications.**
**Join thousands of developers, researchers, and organizations using Semantica to build the next generation of intelligent applications.**
[![Get Started](https://img.shields.io/badge/Get%20Started-blue?style=for-the-badge&logo=rocket)](https://semanticore.readthedocs.io/quickstart/)
[![View Examples](https://img.shields.io/badge/View%20Examples-green?style=for-the-badge&logo=github)](https://github.com/semanticore/examples)
[![Join Community](https://img.shields.io/badge/Join%20Community-purple?style=for-the-badge&logo=discord)](https://discord.gg/semanticore)
[![Get Started](https://img.shields.io/badge/Get%20Started-blue?style=for-the-badge&logo=rocket)](https://semantica.readthedocs.io/quickstart/)
[![View Examples](https://img.shields.io/badge/View%20Examples-green?style=for-the-badge&logo=github)](https://github.com/semantica/examples)
[![Join Community](https://img.shields.io/badge/Join%20Community-purple?style=for-the-badge&logo=discord)](https://discord.gg/semantica)
### 🌟 Star us on GitHub • 🐦 Follow us on Twitter • 💬 Join our Discord
**[Documentation](https://semanticore.readthedocs.io/) • [GitHub](https://github.com/semanticore/semanticore) • [Discord](https://discord.gg/semanticore) • [Twitter](https://twitter.com/semanticore)**
**[Documentation](https://semantica.readthedocs.io/) • [GitHub](https://github.com/semantica/semantica) • [Discord](https://discord.gg/semantica) • [Twitter](https://twitter.com/semantica)**
---