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Refine README content for clarity and consistency
Updated formatting and capitalization for consistency in the README.
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README.md
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README.md
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@ -21,10 +21,10 @@ Ingest your data into a unified context graph, enrich that graph with ontologies
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TrustGraph gives you a graph-backed context harness with:
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- a context graph over your data (nodes, edges, embeddings)
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- graphs built to your ontologies and protocols
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- A context graph over your data (nodes, edges, embeddings)
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- Graphs built to your ontologies and protocols
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- GraphRAG APIs for context-aware retrieval
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- an agent harness that lets LLMs query, traverse, and update the graph with isolated collections and modular context cores
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- An agent harness that lets LLMs query, traverse, and update the graph with isolated collections and modular context cores
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Use it as the context layer under any model or agent framework with model inferencing for open models on Nvidia, AMD, or Intel hardware.
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@ -34,7 +34,9 @@ Use it as the context layer under any model or agent framework with model infere
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npx @trustgraph/config
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```
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TrustGraph downloads as a set of Docker containers and can be run locally with Docker, Podman, or Minikube. The config tool will generate `deploy.zip` which contains either a `docker-compose.yaml` file for a Docker/Podman deploy or `resources.yaml` for Kubernetes. Deployment instructions are generated as `INSTALLATION.md`.
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TrustGraph downloads as Docker containers and can be run locally with Docker, Podman, or Minikube. The config tool will generate:
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- `deploy.zip` with either a `docker-compose.yaml` file for a Docker/Podman deploy or `resources.yaml` for Kubernetes
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- Deployment instructions as `INSTALLATION.md`.
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<p align="center">
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<video src="https://github.com/user-attachments/assets/2978a6aa-4c9c-4d7c-ad02-8f3d01a1c602"
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