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@ -21,12 +21,12 @@ TrustGraph is a fully agentic AI system for complex unstructured data. Extract y
- 📖 **Entity, Topic, and Relationship Knowledge Graphs** - 📖 **Entity, Topic, and Relationship Knowledge Graphs**
- 🔢 **Mapped Vector Embeddings** - 🔢 **Mapped Vector Embeddings**
- ❔**No-code Graph RAG Queries**: Automatically perform a semantic similiarity search and subgraph extraction for the context of LLM generative responses - ❔**No-code Graph RAG Queries**: Automatically perform a semantic similiarity search and subgraph extraction for the context of LLM generative responses
- 🧠 **Cognitive Cores**: Modular data sets with semantic relationships that can saved and quickly loaded on demand
- 🤖 **Agent Flow**: Define custom tools used by a ReAct style Agent Manager that fully controls the response flow including the ability to perform Graph RAG requests - 🤖 **Agent Flow**: Define custom tools used by a ReAct style Agent Manager that fully controls the response flow including the ability to perform Graph RAG requests
- 📚 **Multiple Knowledge Graph Options**: Full integration with **Memgraph**, **FalkorDB**, **Neo4j**, or **Cassandra** - 📚 **Multiple Knowledge Graph Options**: Full integration with **Memgraph**, **FalkorDB**, **Neo4j**, or **Cassandra**
- 🧮 **Multiple VectorDB Options**: Full integration with **Pinecone**, **Qdrant**, or **Milvus** - 🧮 **Multiple VectorDB Options**: Full integration with **Pinecone**, **Qdrant**, or **Milvus**
- 🎛️ **Production-Grade** reliability, scalability, and accuracy - 🎛️ **Production-Grade** reliability, scalability, and accuracy
- 🔍 **Observability**: get insights into system performance with Prometheus and Grafana - 🔍 **Observability**: get insights into system performance with Prometheus and Grafana
- 🗄️ **AI Powered Data Warehouse**: Load only the subgraph and vector embeddings you use most often
- 🪴 **Customizable and Extensible**: Tailor for your data and use cases - 🪴 **Customizable and Extensible**: Tailor for your data and use cases
- 🖥️ **Configuration Portal**: Build the `YAML` configuration with drop down menus and selectable parameters - 🖥️ **Configuration Portal**: Build the `YAML` configuration with drop down menus and selectable parameters
- 🕵️ **Data Workbench**: Explore your data with a 3D semantic visualizer - 🕵️ **Data Workbench**: Explore your data with a 3D semantic visualizer
@ -180,7 +180,7 @@ tg-load-text <document.txt>
## Graph RAG Queries ## Graph RAG Queries
Once the knowledge graph and embeddings have been built or a knowledge core has been loaded, RAG queries are launched with a single line: Once the knowledge graph and embeddings have been built or a cognitive core has been loaded, RAG queries are launched with a single line:
``` ```
tg-invoke-graph-rag -q "What are the top 3 takeaways from the document?" tg-invoke-graph-rag -q "What are the top 3 takeaways from the document?"