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Revise key features section in README.md

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@ -37,25 +37,25 @@ TrustGraph provides an event-driven data-to-AI platform that transforms data int
TrustGraph is not just another AI framework but a complete, production-ready platform that bridges the gap between raw data and intelligent, adaptable agent deployments. TrustGraph is not just another AI framework but a complete, production-ready platform that bridges the gap between raw data and intelligent, adaptable agent deployments.
- **AI-Ready Data Transformation** - **Data Ingestion**
*Convert unstructured and structured (bring your own schema) data into AI-optimized formats*. *PDF parsing, OCR, configurable chunking, custom metadata, and bring your own schemas for large scale data ingestion*.
- **Automated Knowledge Graph Construction** - **Data Transformation**
*Transform unstructured data into interconnected knowledge graphs that capture relationships, context, and meaning*. *Transform unstructured data into flat knowledge graphs or bring your own ontology for rich graphs*.
- **Semantic Retrieval** - **Context Retrieval**
*TrustGraph combines multiple retrieval methods optimized for each data type and use case*. *Deterministic knowledge graph queries, no LLMs in retrieval path*.
- **Event-Driven** - **Event-Driven**
*Built with Apache Pulsar for high-throughput and reliable messaging*. *All services communicate through Apache Pulsar topics rather than direct RPC.*
- **Datastore Orchestration** - **Multi-Backend Storage**
*Deploy stores like Apache Cassandra, Neo4j, Qdrant, Milvus, Memgraph, or FalkorDB for structured and unstructured data storage*. *Data storage with Apache Cassandra, Neo4j, Qdrant, Milvus, Memgraph, FalkorDB, and Pinecone*.
- **Data Sovereignty** - **Data Sovereignty**
@ -63,23 +63,23 @@ TrustGraph is not just another AI framework but a complete, production-ready pla
- **Private LLM Inferencing** - **Private LLM Inferencing**
*In addition to support for all major LLM APIs, deploy and manage open models connected to all of the agentic data infrastructure*. *Support for all major LLM APIs or deploy and manage open models directly integrated with the platform*.
- **Agentic GraphRAG** - **Three-Dimensional Multi-Tenancy**
*Deploy intelligent agents with context awareness. Bring your own ontology for easy integration into interconnected systems*. *3 layers of isolation with flows for processing logic, collections for data access, and tool groups for multi-agent.*
- **Production Ready** - **Container-First**
*Containerized deployment with Docker/Kubernetes support. Built for enterprise scale with monitoring, observability, and management*. *Containerized deployments with Docker or Kubernetes. Built for enterprise scale with monitoring, observability, and management*.
- **MCP Integration** - **MCP Integration**
*Native support for MCP enables standardized agent communication with third-party tools and services while maintaining data sovereignty*. *Native support for MCP enables standardized agent communication with third-party tools and services while maintaining data sovereignty*.
- **Full Stack Visibility** - **Observable by Design**
*3D visualization of knowledge graphs. Grafana dashboard for observability*. *3D visualization of knowledge graphs. Prometheus metrics and Grafana dashboards track latency, throughput, costs, and errors*.
## Why TrustGraph? ## Why TrustGraph?