UNICORE: DOCS: Added the new UniCore services to the README
Signed-off-by: Puranjay Savar Mattas <puranjaysavarmattas@gmail.com>
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@@ -51,6 +51,8 @@ Our platform is divided into two main repositories:
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| 🎨 **[unicore-frontend](https://github.com/UniCore-SCM/unicore-frontend)** | The responsive and intuitive user interface built with Angular. This is where users interact with their data, dashboards, and settings. | [](https://jenkins.psmattas.com/job/UniCore-Frontend/job/main/) |
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| 🎨 **[unicore-frontend](https://github.com/UniCore-SCM/unicore-frontend)** | The responsive and intuitive user interface built with Angular. This is where users interact with their data, dashboards, and settings. | [](https://jenkins.psmattas.com/job/UniCore-Frontend/job/main/) |
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| ⚙️ **[unicore-backend](https://github.com/UniCore-SCM/unicore-backend)** | The powerful FastAPI-based API that handles authentication, data processing, business logic, and integration with our AI/ML models. | [](https://jenkins.psmattas.com/job/UniCore-Backend/job/main/) |
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| ⚙️ **[unicore-backend](https://github.com/UniCore-SCM/unicore-backend)** | The powerful FastAPI-based API that handles authentication, data processing, business logic, and integration with our AI/ML models. | [](https://jenkins.psmattas.com/job/UniCore-Backend/job/main/) |
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| 🤖 **[unicore-model-service](https://github.com/UniCore-SCM/unicore-model-service)** | **Unicore-Model_Service** is a self-contained microservice that provides a complete, automated machine learning lifecycle for supply chain analytics. It allows companies (tenants) to upload their own unique data, define their prediction goals, and train bespoke AI models using a powerful visual canvas—no code required. | [](https://jenkins.psmattas.com/job/UniCore-Model_service/job/main/) |
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| 🤖 **[unicore-vertex](https://github.com/UniCore-SCM/unicore-vertex)** | **UniCore-Vertex** is the AI/ML model service backend for the **UniCore** platform. It functions as a dedicated, high-performance gRPC service responsible for all Retrieval-Augmented Generation (RAG) tasks, including document processing, multi-tenant data indexing, and intelligent querying against local Large Language Models (LLMs) via Ollama. | [](https://jenkins.psmattas.com/job/UniCore-Vertex/job/main/) |
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## 📈 Project Status
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## 📈 Project Status
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