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Remove Semantica Processing Flow and Cookbook Sections
Removed detailed processing flowchart and cookbook recipes from README.
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@@ -89,50 +89,8 @@ Semantica operates through three integrated layers that transform raw data into
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**Powers: GraphRAG, AI Agents, Multi-Agent Systems**
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#### Semantica Processing Flow
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<details>
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<summary>View Interactive Flowchart</summary>
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```mermaid
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flowchart TD
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A[Raw Data Sources<br/>PDFs, Emails, Logs, Databases<br/>Multiple Formats] --> B[Input Layer<br/>Universal Data Ingestion]
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B --> C[Format Detection<br/>& Parsing]
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C --> D[Normalization<br/>& Preprocessing]
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D --> E[Semantic Layer<br/>Core Intelligence]
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E --> F[Entity Extraction<br/>NER + LLM Enhancement]
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E --> G[Relationship Mapping<br/>Triplet Generation]
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E --> H[Ontology Generation<br/>6-Stage Pipeline]
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E --> I[Context Engineering<br/>Semantic Enrichment]
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E --> J[Quality Assurance<br/>Conflict Detection]
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F --> K[Output Layer]
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G --> K
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H --> K
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I --> K
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J --> K
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K --> L[Knowledge Graphs<br/>Production-Ready]
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K --> M[Vector Embeddings<br/>Semantic Search]
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K --> N[Ontologies<br/>OWL Validated]
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L --> O[Application Layer]
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M --> O
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N --> O
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O --> P[GraphRAG Engine<br/>91% Accuracy]
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O --> Q[AI Agents<br/>Persistent Memory]
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O --> R[Multi-Agent Systems<br/>Shared Models]
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O --> S[Analytics & BI<br/>Graph Insights]
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style A fill:#e1f5ff
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style E fill:#fff4e1
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style K fill:#e8f5e9
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style O fill:#f3e5f5
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```
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</details>
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### What Happens Without Semantics?
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@@ -232,57 +190,7 @@ python -c "import semantica; print(semantica.__version__)"
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**Current Version:** [](https://pypi.org/project/semantica/0.0.1/) • [View on PyPI](https://pypi.org/project/semantica/0.0.1/)
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## 🍳 Semantica Cookbook
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> **Interactive Jupyter Notebooks** designed to take you from beginner to expert.
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[**View Full Cookbook**](https://github.com/Hawksight-AI/semantica/tree/main/cookbook)
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### Featured Recipes
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| **Recipe** | **Description** | **Link** |
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|:-----------|:----------------|:---------|
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| **GraphRAG Complete** | Build a production-ready **Graph Retrieval Augmented Generation** system. Features **Graph Validation**, **Hybrid Retrieval**, and **Logical Inference**. | [Open Notebook](cookbook/use_cases/advanced_rag/01_GraphRAG_Complete.ipynb) |
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| **RAG vs. GraphRAG** | Side-by-side comparison. Demonstrates the **Reasoning Gap** and how GraphRAG solves it with **Inference Engines**. | [Open Notebook](cookbook/use_cases/advanced_rag/02_RAG_vs_GraphRAG_Comparison.ipynb) |
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| **First Knowledge Graph** | Go from raw text to a queryable knowledge graph in 20 minutes. | [Open Notebook](cookbook/introduction/08_Your_First_Knowledge_Graph.ipynb) |
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| **Real-Time Anomalies** | Detect anomalies in streaming data using temporal knowledge graphs and pattern detection. | [Open Notebook](cookbook/use_cases/cybersecurity/01_Real_Time_Anomaly_Detection.ipynb) |
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### Core Tutorials
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- [**Welcome to Semantica**](cookbook/introduction/01_Welcome_to_Semantica.ipynb) - Framework Overview
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- [**Data Ingestion**](cookbook/introduction/02_Data_Ingestion.ipynb) - Universal Ingestion
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- [**Entity Extraction**](cookbook/introduction/05_Entity_Extraction.ipynb) - NER & Relationships
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- [**Building Knowledge Graphs**](cookbook/introduction/07_Building_Knowledge_Graphs.ipynb) - Graph Construction
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### Industry Use Cases (14 Cookbooks)
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**Domain-Specific Cookbooks** showcasing real-world applications with real data sources, advanced chunking strategies, temporal KGs, GraphRAG, and comprehensive Semantica module integration:
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#### Biomedical
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- [**Drug Discovery Pipeline**](cookbook/use_cases/biomedical/01_Drug_Discovery_Pipeline.ipynb) - PubMed RSS, entity-aware chunking, GraphRAG, vector similarity search
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- [**Genomic Variant Analysis**](cookbook/use_cases/biomedical/02_Genomic_Variant_Analysis.ipynb) - bioRxiv RSS, temporal KGs, deduplication, pathway analysis
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#### Finance
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- [**Financial Data Integration MCP**](cookbook/use_cases/finance/01_Financial_Data_Integration_MCP.ipynb) - Alpha Vantage API, MCP servers, seed data, real-time ingestion
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- [**Fraud Detection**](cookbook/use_cases/finance/02_Fraud_Detection.ipynb) - Transaction streams, temporal KGs, pattern detection, conflict resolution, **Context Graph**, **Context Retriever**, GraphRAG with Groq LLM
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#### Blockchain
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- [**DeFi Protocol Intelligence**](cookbook/use_cases/blockchain/01_DeFi_Protocol_Intelligence.ipynb) - CoinDesk RSS, ontology-aware chunking, conflict detection, ontology generation
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- [**Transaction Network Analysis**](cookbook/use_cases/blockchain/02_Transaction_Network_Analysis.ipynb) - Blockchain APIs, deduplication, network analytics
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#### Cybersecurity
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- [**Real-Time Anomaly Detection**](cookbook/use_cases/cybersecurity/01_Real_Time_Anomaly_Detection.ipynb) - CVE RSS, Kafka streams, temporal KGs, sentence chunking
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- [**Threat Intelligence Hybrid RAG**](cookbook/use_cases/cybersecurity/02_Threat_Intelligence_Hybrid_RAG.ipynb) - Security RSS, entity-aware chunking, enhanced GraphRAG, deduplication
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#### Intelligence & Law Enforcement
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- [**Criminal Network Analysis**](cookbook/use_cases/intelligence/01_Criminal_Network_Analysis.ipynb) - OSINT RSS, deduplication, network centrality, graph analytics
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- [**Intelligence Analysis Orchestrator Worker**](cookbook/use_cases/intelligence/02_Intelligence_Analysis_Orchestrator_Worker.ipynb) - Pipeline orchestrator, multi-source integration, conflict detection
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#### Renewable Energy
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- [**Energy Market Analysis**](cookbook/use_cases/renewable_energy/01_Energy_Market_Analysis.ipynb) - Energy RSS, EIA API, temporal KGs, TemporalPatternDetector, trend prediction
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#### Supply Chain
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- [**Supply Chain Data Integration**](cookbook/use_cases/supply_chain/01_Supply_Chain_Data_Integration.ipynb) - Logistics RSS, deduplication, relationship mapping
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### Install from Source (Development)
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@@ -770,6 +678,61 @@ print(f"Found {len(results)} results")
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**Biomedical** — Drug discovery, medical literature analysis.
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## 🍳 Semantica Cookbook
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> **Interactive Jupyter Notebooks** designed to take you from beginner to expert.
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[**View Full Cookbook**](https://github.com/Hawksight-AI/semantica/tree/main/cookbook)
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### Featured Recipes
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| **Recipe** | **Description** | **Link** |
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|:-----------|:----------------|:---------|
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| **GraphRAG Complete** | Build a production-ready **Graph Retrieval Augmented Generation** system. Features **Graph Validation**, **Hybrid Retrieval**, and **Logical Inference**. | [Open Notebook](cookbook/use_cases/advanced_rag/01_GraphRAG_Complete.ipynb) |
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| **RAG vs. GraphRAG** | Side-by-side comparison. Demonstrates the **Reasoning Gap** and how GraphRAG solves it with **Inference Engines**. | [Open Notebook](cookbook/use_cases/advanced_rag/02_RAG_vs_GraphRAG_Comparison.ipynb) |
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| **First Knowledge Graph** | Go from raw text to a queryable knowledge graph in 20 minutes. | [Open Notebook](cookbook/introduction/08_Your_First_Knowledge_Graph.ipynb) |
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| **Real-Time Anomalies** | Detect anomalies in streaming data using temporal knowledge graphs and pattern detection. | [Open Notebook](cookbook/use_cases/cybersecurity/01_Real_Time_Anomaly_Detection.ipynb) |
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### Core Tutorials
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- [**Welcome to Semantica**](cookbook/introduction/01_Welcome_to_Semantica.ipynb) - Framework Overview
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- [**Data Ingestion**](cookbook/introduction/02_Data_Ingestion.ipynb) - Universal Ingestion
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- [**Entity Extraction**](cookbook/introduction/05_Entity_Extraction.ipynb) - NER & Relationships
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- [**Building Knowledge Graphs**](cookbook/introduction/07_Building_Knowledge_Graphs.ipynb) - Graph Construction
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### Industry Use Cases (14 Cookbooks)
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**Domain-Specific Cookbooks** showcasing real-world applications with real data sources, advanced chunking strategies, temporal KGs, GraphRAG, and comprehensive Semantica module integration:
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#### Biomedical
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- [**Drug Discovery Pipeline**](cookbook/use_cases/biomedical/01_Drug_Discovery_Pipeline.ipynb) - PubMed RSS, entity-aware chunking, GraphRAG, vector similarity search
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- [**Genomic Variant Analysis**](cookbook/use_cases/biomedical/02_Genomic_Variant_Analysis.ipynb) - bioRxiv RSS, temporal KGs, deduplication, pathway analysis
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#### Finance
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- [**Financial Data Integration MCP**](cookbook/use_cases/finance/01_Financial_Data_Integration_MCP.ipynb) - Alpha Vantage API, MCP servers, seed data, real-time ingestion
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- [**Fraud Detection**](cookbook/use_cases/finance/02_Fraud_Detection.ipynb) - Transaction streams, temporal KGs, pattern detection, conflict resolution, **Context Graph**, **Context Retriever**, GraphRAG with Groq LLM
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#### Blockchain
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- [**DeFi Protocol Intelligence**](cookbook/use_cases/blockchain/01_DeFi_Protocol_Intelligence.ipynb) - CoinDesk RSS, ontology-aware chunking, conflict detection, ontology generation
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- [**Transaction Network Analysis**](cookbook/use_cases/blockchain/02_Transaction_Network_Analysis.ipynb) - Blockchain APIs, deduplication, network analytics
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#### Cybersecurity
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- [**Real-Time Anomaly Detection**](cookbook/use_cases/cybersecurity/01_Real_Time_Anomaly_Detection.ipynb) - CVE RSS, Kafka streams, temporal KGs, sentence chunking
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- [**Threat Intelligence Hybrid RAG**](cookbook/use_cases/cybersecurity/02_Threat_Intelligence_Hybrid_RAG.ipynb) - Security RSS, entity-aware chunking, enhanced GraphRAG, deduplication
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#### Intelligence & Law Enforcement
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- [**Criminal Network Analysis**](cookbook/use_cases/intelligence/01_Criminal_Network_Analysis.ipynb) - OSINT RSS, deduplication, network centrality, graph analytics
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- [**Intelligence Analysis Orchestrator Worker**](cookbook/use_cases/intelligence/02_Intelligence_Analysis_Orchestrator_Worker.ipynb) - Pipeline orchestrator, multi-source integration, conflict detection
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#### Renewable Energy
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- [**Energy Market Analysis**](cookbook/use_cases/renewable_energy/01_Energy_Market_Analysis.ipynb) - Energy RSS, EIA API, temporal KGs, TemporalPatternDetector, trend prediction
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#### Supply Chain
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- [**Supply Chain Data Integration**](cookbook/use_cases/supply_chain/01_Supply_Chain_Data_Integration.ipynb) - Logistics RSS, deduplication, relationship mapping
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[**Explore Use Case Examples**](https://github.com/Hawksight-AI/semantica/tree/main/cookbook/use_cases) — See real-world implementations in finance, biomedical, cybersecurity, and more. **14 comprehensive domain-specific cookbooks** with real data sources, advanced chunking strategies, temporal KGs, GraphRAG, and full Semantica module integration.
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## 🔬 Advanced Features
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