diff --git a/README.md b/README.md index ed3118c1..8f5b1ef4 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@
-## Autonomous Operations Platform +## Autonomous Knowledge Operations Platform [![PyPI version](https://img.shields.io/pypi/v/trustgraph.svg)](https://pypi.org/project/trustgraph/) [![Discord](https://img.shields.io/discord/1251652173201149994 )](https://discord.gg/sQMwkRz5GX) @@ -17,7 +17,6 @@ The **TrustGraph** platform provides a robust, scalable, and reliable AI infrast --- -- âœĻ [**Key Features**](#-key-features) - ðŸŽŊ [**Why TrustGraph?**](#-why-trustgraph) - 🚀 [**Getting Started**](#-getting-started) - 🔧 [**Configuration Builder**](#-configuration-builder) @@ -31,28 +30,6 @@ The **TrustGraph** platform provides a robust, scalable, and reliable AI infrast --- -## âœĻ Key Features - -- 📄 **Data Ingest**: Bulk ingest documents such as `.pdf`,`.txt`, and `.md` -- 📃 **OCR Pipelines**: OCR documents with PDF decode, Tesseract, or Mistral OCR services -- 🊓 **Adjustable Chunking**: Choose your chunking algorithm and parameters -- 🔁 **No-code LLM Integration**: **Anthropic**, **AWS Bedrock**, **AzureAI**, **AzureOpenAI**, **Cohere**, **Google AI Studio**, **Google VertexAI**, **Llamafiles**, **LM Studio**, **Mistral**, **Ollama**, and **OpenAI** -- 📖 **Automated Knowledge Graph Building**: No need for complex ontologies and manual graph building -- ðŸ”Ē **Knowledge Graph to Vector Embeddings Mappings**: Connect knowledge graph enhanced data directly to vector embeddings -- ❔**Natural Language Data Retrieval**: Automatically perform a semantic similiarity search and subgraph extraction for the context of LLM generative responses -- 🧠 **Knowledge Cores**: Modular data sets with semantic relationships that can saved and quickly loaded on demand -- ðŸĪ– **Agent Manager**: 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** -- ðŸ§Ū **Multiple VectorDB Options**: Full integration with **Qdrant**, **Pinecone**, or **Milvus** -- 🎛ïļ **Production-Grade** Reliability, scalability, and accuracy -- 📊 **Observability and Telemetry**: Get insights into system performance with **Prometheus** and **Grafana** -- ðŸŽŧ **Orchestration**: Fully containerized with **Docker** or **Kubernetes** -- ðŸĨž **Stack Manager**: Control and scale the stack with confidence with **Apache Pulsar** -- ☁ïļ **Cloud Deployments**: **AWS**, **Azure**, **Google Cloud**, and **Scaleway** -- ðŸŠī **Customizable and Extensible**: Tailor for your data and use cases -- ðŸ–Ĩïļ **Configuration Builder**: Build the `YAML` configuration with drop down menus and selectable parameters -- ðŸ•ĩïļ **Test Suite**: A simple UI to fully test TrustGraph performance - ## ðŸŽŊ Why TrustGraph? Traditional operations involve manual intervention, siloed tools, and reactive problem-solving. While AI agents show promise, integrating them into reliable, continuous operations presents significant challenges: