From 28aa72c5d8863cd0df9b1bf7fbde23108f385bfd Mon Sep 17 00:00:00 2001 From: Jack Colquitt <126733989+JackColquitt@users.noreply.github.com> Date: Mon, 7 Apr 2025 16:03:53 -0700 Subject: [PATCH] README WIP --- README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index cbbb344a..0766d707 100644 --- a/README.md +++ b/README.md @@ -130,7 +130,7 @@ When finished, shutting down TrustGraph is as simple as: docker compose down -v ``` -## Platform Restarts +### Platform Restarts The `-v` flag will destroy all data on shut down. To restart the system, it's necessary to keep the volumes. To keep the volumes, shut down without the `-v` flag: ``` @@ -144,7 +144,7 @@ docker compose up -d All data previously in TrustGraph will be saved and usable on restart. -## Test Suite +### Test Suite If added to the build in the `Configuration Builder`, the `Test Suite` will be available at port `8888`. The `Test Suite` has the following capabilities: @@ -154,7 +154,7 @@ If added to the build in the `Configuration Builder`, the `Test Suite` will be a - **Graph Visualizer** 🌐: Visualize semantic relationships in **3D** - **Data Loader** 📂: Directly load `.pdf`, `.txt`, or `.md` into the system with document metadata -## Example TrustGraph Notebooks +### Example TrustGraph Notebooks - [**REST API Notebooks**](https://github.com/trustgraph-ai/example-notebooks/tree/master/api-examples) - [**Python SDK Notebooks**](https://github.com/trustgraph-ai/example-notebooks/tree/master/api-library) @@ -187,7 +187,7 @@ TrustGraph is designed to be modular to support as many LLMs and environments as ![architecture](TG-layer-diagram.svg) ## 🧩 Integrations -TrustGraph aims to integrate seamlessly with your existing ecosystem. +TrustGraph seamlessly integrates API services, data stores, OTel, and control flow for a unified platform experience. - LLM Providers: **Anthropic**, **AWS Bedrock**, **AzureAI**, **AzureOpenAI**, **Cohere**, **Google AI Studio**, **Google VertexAI**, **Llamafiles**, **LM Studio**, **Mistral**, **Ollama**, and **OpenAI** - Vector Databases: **Qdrant**, **Pinecone**, and **Milvus**