Update README.md

Author: EdwinAddepto

README.md

@@ -1,35 +1,86 @@
-# graph_builder
+# ContextClue Graph Builder
 
-Graph Builder
+ContextClue Graph Builder is an open-source toolkit for extracting knowledge graphs from semi-structured and unstructured data such as PDFs, reports, and tabular files.
 
-Graph Builder is an open-source toolkit for extracting structured knowledge graphs from documents and tabular data.
-It enables you to transform raw data into graph structures for further analysis, visualization, and knowledge discovery.
+It enables engineers, businesses, researchers, and developers to transform raw documents into graph structures for analytics, search, chatbots, and digital twin applications.
 
 ## Feaatures
 
-✨ Features
+📄 Document → Graph
+Extract tabular information from documents and load it into graph structures.
 
-📄 Extract tables from documents and load them into a graph.
+⚙️ Flexible Configuration
+Define headers, file paths, entity labels, and relationship types.
 
-⚙️ Customizable extraction configurations (headers, file paths, entity names).
+🚀 FastAPI Backend
+Deploy graph extraction as a REST API service (Docker-ready).
 
-🔄 FastAPI integration for serving graph extraction as a service.
+🔄 Runtime Graph Retention
+Graphs persist between API calls while the service is running.
 
-🗂️ Graphs are retained between requests during runtime.
+🔮 Future Roadmap
 
-🚀 Future roadmap includes:
+* Automatic header extraction (semantic + layout)
 
-    Automatic header extraction
-    
-    Smarter chunking and embeddings
-    
-    Database + vector database integration
-    
-    Advanced relationship discovery
-    
-    Knowledge graph visualization
-    
-    Chatbot + Retrieval-Augmented Generation (RAG)
+* Smarter chunking & embeddings
+
+* Integration with graph DBs and vector DBs
+
+* Relationship discovery across multiple data sources
+
+* Knowledge graph visualization dashboards
+
+* RAG-enabled chatbot & business assistants
+
+## Business Use Cases
+
+💼 Business Use Cases
+
+ContextClue Graph Builder goes beyond raw graph extraction—it powers enterprise-grade knowledge systems.
+
+1. Industrial Engineering & Manufacturing
+
+Convert CAD, ERP, PLM, and planning data into unified, searchable knowledge graphs.
+
+Enable digital twin navigation: interactive exploration of components, processes, and relationships.
+
+Provide graph-based operational intelligence for predictive performance and system optimization.
+
+Proven impact: A German automotive company achieved 40% faster troubleshooting and 30% lower engineering costs by deploying graph-based systems.
+
+2. Maintenance, Repair & Operations (MRO)
+
+Automotive, aerospace, energy, and logistics sectors use ContextClue to:
+
+Reduce downtime with faster diagnostics.
+
+Support predictive maintenance.
+
+Increase efficiency of maintenance workflows.
+
+3. Knowledge Assistants
+
+Integrate with chat platforms like Slack to build internal assistants.
+
+Example: Addeptalk (powered by ContextClue) connects Google Drive docs to Slack, enabling employees to ask natural-language questions and receive contextual answers.
+
+4. Conversational Analytics & Summarization
+
+Automate document summarization and semantic search.
+
+Generate business reports directly from raw data.
+
+Query SQL databases using natural language—empowering non-technical teams.
+
+5. Domain-Specific Applications
+
+Marketing & Sales: Campaign optimization, customer segmentation, KPI tracking, forecasting.
+
+Finance & Legal: Compliance document automation, audit preparation.
+
+Healthcare & Research: Extract structured knowledge from scientific papers and clinical reports.
+
+Developers & IT: Summarize technical docs, generate structured code knowledge, power RAG-based bots.
 
 
 ## Installation
@@ -100,13 +151,30 @@ This means that each time the API is restarted, the graphs must be rebuilt.
 
  * Automatic header extraction (semantic segmentation + separators)
 
- Improved data chunking and embeddings
+ * Improved data chunking and embeddings
 
- Database and vector database infrastructure
+ * Database and vector database infrastructure
 
- Advanced relational analysis between sources
+ * Advanced relational analysis between sources
 
  Interactive knowledge graph visualization
 
+
+## Contributing
+
+We welcome community contributions!
+
+Fork this repo
+
+Create a branch (feature/my-feature)
+
+Commit changes (git commit -m "Add feature")
+
+Push branch (git push origin feature/my-feature)
+
+Open a Pull Request 🎉
+
+Please include tests for new functionality.
+
  Integrated chatbot with RAG